Questions? Check out and post in our Developer Community: https://community.palantir.com/
Running into technical roadblocks? Check out the Foundry and AIP docs.
Looking for a crash-course in Foundry and AIP? Check out https://learn.palantir.com/
Want inspiration? Check out how Foundry and AIP are used to solve problems across industries.
Also see Impact Studies.
Want to see what the rest of the AIP community is building? Check out or contribute to our AIP Community Registry on Github.
Generating notional data? Refer to product documentation to learn how to do this in Foundry.
Want to know how we use your data? See our DevTier privacy statement and our Candidate privacy statement.
Questions? Check out and post in our Developer Community: https://community.palantir.com/
Running into technical roadblocks? Check out the Foundry and AIP docs.
Looking for a crash-course in Foundry and AIP? Check out https://learn.palantir.com/
Want inspiration? Check out how Foundry and AIP are used to solve problems across industries.
Also see Impact Studies.
Want to see what the rest of the AIP community is building? Check out or contribute to our AIP Community Registry on Github.
Generating notional data? Refer to product documentation to learn how to do this in Foundry.
Want to know how we use your data? See our DevTier privacy statement and our Candidate privacy statement.
Questions? Check out and post in our Developer Community: https://community.palantir.com/
Running into technical roadblocks? Check out the Foundry and AIP docs.
Looking for a crash-course in Foundry and AIP? Check out https://learn.palantir.com/
Want inspiration? Check out how Foundry and AIP are used to solve problems across industries.
Also see Impact Studies.
Want to see what the rest of the AIP community is building? Check out or contribute to our AIP Community Registry on Github.
Generating notional data? Refer to product documentation to learn how to do this in Foundry.
Want to know how we use your data? See our DevTier privacy statement and our Candidate privacy statement.
Questions? Check out and post in our Developer Community: https://community.palantir.com/
Running into technical roadblocks? Check out the Foundry and AIP docs.
Looking for a crash-course in Foundry and AIP? Check out https://learn.palantir.com/
Want inspiration? Check out how Foundry and AIP are used to solve problems across industries.
Also see Impact Studies.
Want to see what the rest of the AIP community is building? Check out or contribute to our AIP Community Registry on Github.
Generating notional data? Refer to product documentation to learn how to do this in Foundry.
Want to know how we use your data? See our DevTier privacy statement and our Candidate privacy statement.
Questions? Check out and post in our Developer Community: https://community.palantir.com/
Running into technical roadblocks? Check out the Foundry and AIP docs.
Looking for a crash-course in Foundry and AIP? Check out https://learn.palantir.com/
Want inspiration? Check out how Foundry and AIP are used to solve problems across industries.
Also see Impact Studies.
Want to see what the rest of the AIP community is building? Check out or contribute to our AIP Community Registry on Github.
Generating notional data? Refer to product documentation to learn how to do this in Foundry.
Want to know how we use your data? See our DevTier privacy statement and our Candidate privacy statement.
Questions? Check out and post in our Developer Community: https://community.palantir.com/
Running into technical roadblocks? Check out the Foundry and AIP docs.
Looking for a crash-course in Foundry and AIP? Check out https://learn.palantir.com/
Want inspiration? Check out how Foundry and AIP are used to solve problems across industries.
Also see Impact Studies.
Want to see what the rest of the AIP community is building? Check out or contribute to our AIP Community Registry on Github.
Generating notional data? Refer to product documentation to learn how to do this in Foundry.
Want to know how we use your data? See our DevTier privacy statement and our Candidate privacy statement.
We want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region.
In keeping consistent with Palantir’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the city and or country in which you are employed. If the posting is specified as Onsite, you are required to work from an office.
If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help.
Please note that you will never be asked to submit a payment or share financial information to participate in our interview process. If you suspect that you've been contacted by a scammer, we recommend you cease all communication with the individual and consider reporting them to the relevant authorities, such as the US FBI Internet Crime Complaint Center (IC3).
Palantir construit le premier logiciel au monde pour les décisions et les opérations axées sur les données. En fournissant les bonnes données aux personnes qui en ont besoin, nos plateformes permettent à nos partenaires de développer des médicaments vitaux, de prévoir les perturbations de la chaîne d’approvisionnement, de localiser les enfants disparus, etc.
\nLes missions proposées\nEn tant que stagiaire Deployment Strategist, vous travaillerez au sein d’une équipe diversifiée, innovante et créative d’ingénieur(e)s, de concepteurs/conceptrices de produits et d’autres Deployment Strategists pour déployer des logiciels afin de répondre aux principaux problèmes auxquels notre monde est confronté. Votre mission est de synthétiser des flux d’idées disparates en une présentation cohérente du problème, de la signification des données, des besoins liés au produit, de ce qui motive les utilisateurs et de l’impact potentiel. Les problèmes que vous résoudrez nécessiteront de la curiosité d’esprit et un sens de l’analyse, un sens aigu des produits, la maîtrise du langage des données et la conviction que ce sont les humains doivent décider.
Le poste consiste en fait à repérer des informations sans savoir à quoi elles ressemblent, puis de trouver une façon de les relier les unes aux autres. Nos clients viennent nous voir parce qu’ils pensent que la seule façon de protéger leurs collaborateurs, de fabriquer des produits de haute qualité, de structurer des politiques de santé efficaces ou d’aider les réfugiés en toute sécurité est de mieux utiliser leurs données. Les Deployment Strategists sont chargés de transformer ce sentiment en réalité.
Les Deployment Strategists sont des personnes de terrain à l’aise avec l’ambiguïté, qui réagissent rapidement aux nouveaux stimuli et n’assimilent pas le fait de changer de cap à l’échec, tout en s’efforçant de trouver la vérité, la valeur et d’avoir un impact significatif. Ce stage vous conduira dans des flux de travail clients complexes : vous étudierez les données à l’aide d’analyses quantitatives sur de grands ensembles de données et découvrirez l’écosystème des produits.
Si vous croyez au pouvoir transformationnel des données et de la technologie et à votre propre capacité à mettre ce pouvoir au service de la résolution de problèmes complexes, nous voulons vous rencontrer.
Afin de renforcer la transparence de notre processus de recrutement, nous aimerions vous faire part de nos attentes concernant la date limite de l’offre. En postulant à ce poste, vous vous engagez à confirmer votre décision dans les deux semaines suivant la réception de votre offre écrite.
\nLa vie chez Palantir\nNous tenons à ce que chaque Palantirien(ne) atteigne son meilleur potentiel, c’est pourquoi nous célébrons les forces, les compétences et les intérêts des individus, de votre premier entretien à votre croissance à long terme, plutôt que de nous appuyer sur les échelles de carrière traditionnelles. L’attention portée aux besoins de notre communauté nous permet d’optimiser nos possibilités de croissance et contribue à garantir de nombreuses voies de réussite chez Palantir. Promouvoir la santé et le bien-être dans tous les domaines de la vie des Palantiriens n’est que l’une des façons dont nous investissons dans notre communauté. Apprenez-en davantage sur la vie chez Palantir et notez que nos offres peuvent varier selon les régions.
Conformément aux valeurs et à la culture de Palantir, nous estimons que les employés sont « meilleurs ensemble » et que le travail en présentiel permet d’obtenir des résultats plus créatifs. En conséquence, nous encourageons les employés à travailler depuis nos bureaux pour favoriser la connectivité et l’innovation. De nombreuses équipes proposent des options hybrides (télétravail un jour ou deux par semaine), ce qui permet à nos employés de trouver le bon compromis pour leur productivité personnelle. En fonction des besoins de l’entreprise, il existe quelques postes qui permettent de travailler « à distance » de manière exceptionnelle. Si vous postulez à l’un de ces postes, vous devez travailler depuis la ville et/ou le pays dans lequel vous êtes employé(e). Si le poste précise « sur site », vous devez travailler depuis un bureau.
Si vous souhaitez donner aux organisations les plus importantes au monde les moyens d’agir, votre place est ici. Palantir valorise l’excellence, d’où qu’elle vienne. Nous nous engageons à rendre le processus de candidature et d’embauche accessible à tous et offrirons des aménagements raisonnables aux personnes vivant en situation de handicap. Si vous avez besoin d’un aménagement pour le processus de candidature ou d’embauche, veuillez nous contacter et nous indiquer comment nous pouvons vous aider.
Attention : il ne vous sera jamais demandé d’envoyer un paiement ou de partager des données financières pour participer à notre processus d’entretien. Si vous pensez avoir été contacté par un escroc, nous vous conseillons de cesser toute communication avec la personne et d’envisager de la signaler aux autorités compétentes, telles que l’Internet Crime Complaint Center (IC3) du FBI aux États-Unis.
As a Forward Deployed Reliability Engineer (FDRE), you ensure the stability and reliability of mission-critical workflows built on Palantir software. You gather signal by going on call — resolving problems before the customer is impacted — and use those learnings to drive product change, shape our internal tooling, and refine our operational processes so that we provide an increasing quality of service to more and more customers.
\nYour approach is hands-on and pragmatic: you’ll rapidly address issues as they arise with quick and effective solutions, and advocate for workflow or product improvements once the immediate issue is resolved. You are energised by engaging directly with problems, from writing a script to automate a manual task, to finding creative workarounds, or building a case for a product enhancement. You don’t just fix issues — you look for opportunities to simplify, automate, and make the entire system more resilient.
\nAn FDRE synthesises learnings from support into best practices for others to follow. These are captured in documentation and shared with the team and the wider organisation. In this way, you raise the bar for reliability and efficiency across Palantir.
\n\nCore Responsibilities\nNote: While active work is not required on weekends or outside business hours, you must be available to respond to critical outages during assigned on-call weeks.
\nWhat We Value\nLa vie chez Palantir
\nNous tenons à ce que chaque Palantirien(ne) atteigne son meilleur potentiel, c’est pourquoi nous célébrons les forces, les compétences et les intérêts des individus, de votre premier entretien à votre croissance à long terme, plutôt que de nous appuyer sur les échelles de carrière traditionnelles. L’attention portée aux besoins de notre communauté nous permet d’optimiser nos possibilités de croissance et contribue à garantir de nombreuses voies de réussite chez Palantir. Promouvoir la santé et le bien-être dans tous les domaines de la vie des Palantiriens n’est que l’une des façons dont nous investissons dans notre communauté. Apprenez-en davantage sur la vie chez Palantir et notez que nos offres peuvent varier selon les régions.A World-Changing Company
\nPalantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more.
\n\n
The Role
\nForward Deployed Software Engineers (FDSEs) work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. Our customers rely on Palantir’s platforms for some of their most critical operations, and projects often start with an open-ended question like, \"How do we evaluate wildfire risk and optimise a power grid as a result\" or \"How do we quickly assess our food supply chain and modify it to deliver life saving assistance on time?\" As an FDSE, you’ll apply your problem solving ability, creativity, and technical skills to help organisations use their data to drive a real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions.
\nCore Responsibilities
\nAs an FDSE Intern, your responsibilities look similar to those at a small startup, with the resources, stability and mentorship of an established tech company. You’ll work in small teams with minimal supervision and own end-to-end execution of high stakes projects. Your day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing strategy for your team.
\nFDSE Interns are treated just like full time engineers, with significant freedom and ownership over their work. Interns take responsibility for real world projects and outcomes that our customers rely on.
\nOur Principles:
\nImpact: We address meaningful and exciting projects that change the world for the better.
\nOwnership: We see projects through from beginning to end, working through any obstacles we may encounter. We trust each other to effectively handle time and priorities and give people the space to think for themselves.
\nCollaboration: We work internally with people from a variety of backgrounds — such as other FDSEs, product teams, and Deployment Strategists. We also work externally with our customers, often on site, to understand and tackle their problems.
\nGrowth: We believe experiential learning is one of the best teachers and encourage ourselves and our peers to seek new challenges and opportunities for growth, as well as find new ways to innovate and share knowledge.
\nWhat We Value
\nWillingness and interest to travel as needed to client sites. Ability to travel 25-50% preferred, but requirements vary by team and location.
\nAbility to continuously learn, work independently, and make decisions with minimal direction.
\nAbility to collaborate in teams of technical and non-technical individuals, and comfortable working in a constantly evolving environment with dynamic objectives and iteration with users.
\nAn eagerness to creatively solve technical problems with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools.
\nInterest in working with and using large scale data to solve valuable business problems.
\nWhat We Require
\nEngineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science.
\nProficiency with one or more programming languages, such as Python, Java, C++, TypeScript/JavaScript, or similar.
\nMust be planning on graduating in 2027. This should be your final internship before graduating.
\nTo apply, please submit the following:
\nAn updated resume / CV
\nThoughtful responses to our application questions
\nOffer Deadline
\nIn an effort to build more transparency into our recruitment process, we’d like to share our offer deadline expectations. By applying to this position, you commit to confirming your decision within two weeks of receiving your written offer.
\nLife at Palantir
\nWe want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region.
In keeping consistent with Palantir’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the city and or country in which you are employed. If the posting is specified as Onsite, you are required to work from an office.
If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help.
Please note that you will never be asked to submit a payment or share financial information to participate in our interview process. If you suspect that you've been contacted by a scammer, we recommend you cease all communication with the individual and consider reporting them to the relevant authorities, such as the US FBI Internet Crime Complaint Center (IC3) .
\nOur Principles\n
Build software and deliver customer outcomes. You'll work on real problems: helping customers deploy AI-powered solutions, building the software platforms of the future, and transforming how organizations operate. You'll be held to the same performance standards as any Palantir engineer, and your career progression will be based purely on merit and impact. Every incentive we have points toward putting our best people in the highest-leverage positions, as fast as possible.
You’ll have the rare opportunity to gain deep insight into and directly influence some of the world’s most critical industries and institutions. By building on Palantir’s powerful platforms leveraging integrated cutting-edge AI, you’ll help organizations unlock the full potential of their data to make smarter, faster decisions.
At Palantir, the Forward Deployed Software Engineer (FDSE) role isn’t just a job title: it’s the blueprint. We pioneered this unique position, embedding talented engineers directly with our customers to tackle their most pressing challenges head-on. As an FDSE, you’ll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most.
FDSEs work side by side with our customers, rapidly understanding their toughest issues; architecting and building solutions that leverage business-critical data and the latest advancements in AI to solve them. Whether it’s “How do we predict and mitigate wildfire risks to optimize power grids?” or “How can we analyze and adapt a global food supply chain to deliver life-saving aid on time?”, you’ll use your technical expertise, creativity, and problem-solving skills to drive real-world impact.
As an FDSE Intern, you’ll experience the autonomy of a startup, with the resources, mentorship, and stability of an established tech company. FDSE Interns are treated as full members of the engineering team, entrusted with significant freedom and ownership over meaningful projects. Your contributions will have a direct impact on our customers’ missions and the real world. You’ll work in small, agile teams and own the end-to-end execution and implementation of high-stakes projects.
Software Engineers at Palantir build software at scale to transform how organizations around the world use data. As a Software Engineer Intern, you’ll have an opportunity to grow more quickly than you ever envisioned, as you contribute high-quality code directly to Palantir Gotham, Palantir Foundry, or Palantir Apollo: products that are deployed at some of the most important institutions across the public and private sectors. You'll create features used by research scientists, aerospace engineers, intelligence analysts, and economic forecasters, in countries around the world.
Palantir's Product Development organization is made up of small teams of Software Engineers, each focusing on a specific aspect of a product. For example, you might join a team that builds a Foundry front-end application, or a component of the Gotham release infrastructure. We encourage communication and collaboration among teams to share context, skills, and experience, so you'll learn about many different aspects of each product.
Exceptional students who are willing to do work that matters. We care about how you think and what you can build, not just your resume.
\n\nBuild software and deliver customer outcomes. You'll work on real problems: helping customers deploy AI-powered solutions, building the software platforms of the future, and transforming how organizations operate. You'll be held to the same performance standards as any Palantir engineer, and your career progression will be based purely on merit and impact. Every incentive we have points toward putting our best people in the highest-leverage positions, as fast as possible.
You’ll have the rare opportunity to gain deep insight into and directly influence some of the world’s most critical industries and institutions. By building on Palantir’s powerful platforms leveraging integrated cutting-edge AI, you’ll help organizations unlock the full potential of their data to make smarter, faster decisions.
At Palantir, the Forward Deployed Software Engineer (FDSE) role isn’t just a job title: it’s the blueprint. We pioneered this unique position, embedding talented engineers directly with our customers to tackle their most pressing challenges head-on. As an FDSE, you’ll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most.
FDSEs work side by side with our customers, rapidly understanding their toughest issues; architecting and building solutions that leverage business-critical data and the latest advancements in AI to solve them. Whether it’s “How do we predict and mitigate wildfire risks to optimize power grids?” or “How can we analyze and adapt a global food supply chain to deliver life-saving aid on time?”, you’ll use your technical expertise, creativity, and problem-solving skills to drive real-world impact.
As an FDSE Intern, you’ll experience the autonomy of a startup, with the resources, mentorship, and stability of an established tech company. FDSE Interns are treated as full members of the engineering team, entrusted with significant freedom and ownership over meaningful projects. Your contributions will have a direct impact on our customers’ missions and the real world. You’ll work in small, agile teams and own the end-to-end execution and implementation of high-stakes projects.
Software Engineers at Palantir build software at scale to transform how organizations around the world use data. As a Software Engineer Intern, you’ll have an opportunity to grow more quickly than you ever envisioned, as you contribute high-quality code directly to Palantir Gotham, Palantir Foundry, or Palantir Apollo: products that are deployed at some of the most important institutions across the public and private sectors. You'll create features used by research scientists, aerospace engineers, intelligence analysts, and economic forecasters, in countries around the world.
Palantir's Product Development organization is made up of small teams of Software Engineers, each focusing on a specific aspect of a product. For example, you might join a team that builds a Foundry front-end application, or a component of the Gotham release infrastructure. We encourage communication and collaboration among teams to share context, skills, and experience, so you'll learn about many different aspects of each product.
Exceptional students who are willing to do work that matters. We care about how you think and what you can build, not just your resume.
\n\nBuild software and deliver customer outcomes. You'll work on real problems: helping customers deploy AI-powered solutions, building the software platforms of the future, and transforming how organizations operate. You'll be held to the same performance standards as any Palantir engineer, and your career progression will be based purely on merit and impact. Every incentive we have points toward putting our best people in the highest-leverage positions, as fast as possible.
You’ll have the rare opportunity to gain deep insight into and directly influence some of the world’s most critical industries and institutions. By building on Palantir’s powerful platforms leveraging integrated cutting-edge AI, you’ll help organizations unlock the full potential of their data to make smarter, faster decisions.
At Palantir, the Forward Deployed Software Engineer (FDSE) role isn’t just a job title: it’s the blueprint. We pioneered this unique position, embedding talented engineers directly with our customers to tackle their most pressing challenges head-on. As an FDSE, you’ll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most.
FDSEs work side by side with our customers, rapidly understanding their toughest issues; architecting and building solutions that leverage business-critical data and the latest advancements in AI to solve them. Whether it’s “How do we predict and mitigate wildfire risks to optimize power grids?” or “How can we analyze and adapt a global food supply chain to deliver life-saving aid on time?”, you’ll use your technical expertise, creativity, and problem-solving skills to drive real-world impact.
As an FDSE Intern, you’ll experience the autonomy of a startup, with the resources, mentorship, and stability of an established tech company. FDSE Interns are treated as full members of the engineering team, entrusted with significant freedom and ownership over meaningful projects. Your contributions will have a direct impact on our customers’ missions and the real world. You’ll work in small, agile teams and own the end-to-end execution and implementation of high-stakes projects.
Software Engineers at Palantir build software at scale to transform how organizations around the world use data. As a Software Engineer Intern, you’ll have an opportunity to grow more quickly than you ever envisioned, as you contribute high-quality code directly to Palantir Gotham, Palantir Foundry, or Palantir Apollo: products that are deployed at some of the most important institutions across the public and private sectors. You'll create features used by research scientists, aerospace engineers, intelligence analysts, and economic forecasters, in countries around the world.
Palantir's Product Development organization is made up of small teams of Software Engineers, each focusing on a specific aspect of a product. For example, you might join a team that builds a Foundry front-end application, or a component of the Gotham release infrastructure. We encourage communication and collaboration among teams to share context, skills, and experience, so you'll learn about many different aspects of each product.
Exceptional students who are willing to do work that matters. We care about how you think and what you can build, not just your resume.
\n\nAbout the Team
OpenAI is at the forefront of artificial intelligence, driving innovation and shaping the future with cutting-edge research. Our mission is to ensure that AI's benefits reach everyone. We are looking for visionary Research Engineers to join our Applied Group, where you'll transform groundbreaking research into real-world applications that can change industries, enhance human creativity, and solve complex problems.
About the Role
As a Research Engineer in OpenAI's Applied Group, you will have the opportunity to work with some of the brightest minds in AI. You'll contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions. If you're excited about making AI technology accessible and impactful, this role is your chance to make a significant mark.
In this role, you will:
Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact.
Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives.
Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches.
Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices.
Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large.
You might thrive in this role if you:
Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
Demonstrated experience in deep learning and transformers models
Proficiency in frameworks like PyTorch or Tensorflow
Strong foundation in data structures, algorithms, and software engineering principles.
Experience with search relevance, ads ranking or LLMs is a plus.
Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
Excellent problem-solving and analytical skills, with a proactive approach to challenges.
Ability to work collaboratively with cross-functional teams.
Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "applied-AI", "openai", "AI" ], "rawSourceId": "d44c9f70-4aef-45a4-a36a-54fb65663ccb", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/d44c9f70-4aef-45a4-a36a-54fb65663ccb", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-ai-deployment-engineer-startups-625c5c6e", "title": "AI Deployment Engineer, Startups", "company": "OpenAI", "location": "Remote", "salary": "$198K - $280K", "salaryMin": 198000, "salaryMax": 280000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/f92d5695-306d-4af2-8d8b-a09259dd626a", "descriptionHtml": "About the team
The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.
About the Role
We are seeking a technically proficient, business-minded AI Deployment Engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Startups Solutions Architecture Lead.
This role is based in our NYC HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
Partner closely with strategic startup customers as their technical thought partner to build novel applications on our API, helping them rapidly move from ideation to scale.
Provide proactive guidance to maximize business impact and accelerate application development.
Experiment and prototype alongside customers, demonstrating practical use cases.
Contribute to open-source resources and scale the function by sharing knowledge, codifying best practices, and publishing useful resources.
Synthesize and deliver valuable feedback to the Product and Research teams.
Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.
You’ll thrive in this role if you:
Have 5+ years of experience as a software engineer, ML engineer or equivalent, ideally in a startup environment; experience as a founder or founding engineer is highly valued.
Have passion for startups and a belief in their potential to become future large enterprises.
Are proficient in Python, JavaScript, and a strong grasp of AI/LLM best practices.
Built and/or delivered prototypes on top of our API platform.
Can proactively identify opportunities for maximizing our customers’ business value through leveraging the OpenAI API.
Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.
Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.
Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI", "remote" ], "rawSourceId": "f92d5695-306d-4af2-8d8b-a09259dd626a", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/f92d5695-306d-4af2-8d8b-a09259dd626a", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-forward-deployed-software-engineer-sf-d8401e33", "title": "Forward Deployed Software Engineer - SF", "company": "OpenAI", "location": "Remote", "salary": "$185K - $325K", "salaryMin": 185000, "salaryMax": 325000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/00207abc-49b7-465c-a219-f7c1140f8047", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.
About the Role
We are looking for customer-focused software engineers to build effective custom software that leverages OpenAI’s APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements.
You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback.
This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.
In this role, you will:
Embed deeply with strategic customers to understand their business challenges and technical requirements in detail.
Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach.
Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments.
Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure.
Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedback
Contribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function.
You’ll thrive in this role if you:
7+ years of professional full stack engineering experience (excluding internships) in relevant roles at tech and product-driven companies - customer-facing experience is highly desirable
Former founder, or early engineer at a startup who has built a product from scratch is a plus
Experience with relational databases like Postgres/MySQL
Have a bias for action and willingness to work iteratively with your customers to deliver the right solution that solves their problem.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "00207abc-49b7-465c-a219-f7c1140f8047", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/00207abc-49b7-465c-a219-f7c1140f8047", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-forward-deployed-software-engineer-paris-e4ce4da2", "title": "Forward Deployed Software Engineer - Paris", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/961f6c58-1572-48a8-bb8b-2bffdf82a5cc", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.
About the Role
We are looking for customer-focused software engineers to build effective custom software that leverages OpenAI’s APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements.
You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback.
This role is based in Paris. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.
In this role, you will:
Embed deeply with strategic customers to understand their business challenges and technical requirements in detail.
Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach.
Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments.
Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure.
Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedback
Contribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function.
You’ll thrive in this role if you:
7+ years of professional full stack engineering experience (excluding internships) in relevant roles at tech and product-driven companies - customer-facing experience is highly desirable
Former founder, or early engineer at a startup who has built a product from scratch is a plus
Experience with relational databases like Postgres/MySQL
Have a bias for action and willingness to work iteratively with your customers to deliver the right solution that solves their problem.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "961f6c58-1572-48a8-bb8b-2bffdf82a5cc", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/961f6c58-1572-48a8-bb8b-2bffdf82a5cc", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-ai-deployment-engineer-large-enterprise-ef9f51a1", "title": " AI Deployment Engineer, Large Enterprise", "company": "OpenAI", "location": "", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/b904267b-6320-4469-93ce-e74da6586e6a", "descriptionHtml": "About the team
The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer’s industry and to drive these initiatives from prototype to production through hands-on technical guidance and partnership.
As an AI Deployment Engineer you will help customers across various industries transform their businesses through applications such as customer service automation, content generation, and entirely new offerings powered by our most advanced models.
This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance.
About the role
We are looking for a solutions-oriented technical leader to engage with customers post-sale and ensure they realise tangible business value from their investment in OpenAI's technologies. You will work closely with senior leaders and technical teams within customer organizations to establish GenAI roadmaps, strategies, prioritize high-value use cases, and guide projects from early prototyping through enterprise-grade production deployments.
You will take a holistic view of each customer’s architecture and operations, designing solutions that leverage ChatGPT, OpenAI APIs, and our broader ecosystem of tools and services. You will work cross-functionally with Sales, Solutions Engineering, Applied Research, and Product teams, and report to the Head of Solutions Architecture for your segment.
This role is based in our London office. We use a hybrid work model (3 days/week in the office) and offer relocation assistance for new employees.
In this role, you will:
Serve as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions.
Engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in their roadmap.
Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production.
Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes.
Contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers.
Share learnings and collaborate with internal teams to inform product development and improve customer outcomes.
Codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types.
You’ll thrive in this role if you:
Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.
Are a strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike.
Have experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations.
Possess hands-on proficiency in languages like Python, JavaScript, or similar, and are comfortable building prototypes or proofs of concept.
Take end-to-end ownership of challenges, proactively acquiring new skills or knowledge as needed to drive success.
Bring a humble, collaborative mindset and an eagerness to support teammates and customers alike.
Thrive in fast-paced environments, adeptly managing multiple workstreams and prioritizing for the highest customer impact.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI" ], "rawSourceId": "b904267b-6320-4469-93ce-e74da6586e6a", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/b904267b-6320-4469-93ce-e74da6586e6a", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-forward-deployed-engineer-fde-sf-ea8c2eaa", "title": "Forward Deployed Engineer (FDE) - SF", "company": "OpenAI", "location": "Remote", "salary": "$162K - $280K", "salaryMin": 162000, "salaryMax": 280000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/305a4b22-7ff9-4fa5-9229-c6a22c9aa64f", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.
About the role
Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.
You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.
This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.
In this role you will
Own technical delivery across multiple deployments from first prototype to stable production
Build full-stack systems that deliver customer value and sharpen how we learn
Embed closely with customer teams, understand their needs, and guide adoption of what you build
Scope work, sequence delivery, and remove blockers early
Make trade-offs between scope, speed, and quality; adjust plans to protect delivery
Contribute directly in the code when progress or clarity depends on it
Codify working patterns into tools, playbooks, or building blocks that others can use
Share field feedback that helps Research and Product understand where the models succeed and where they can improve
Keep teams moving through clarity and follow-through
You might thrive in this role if you
Bring 5+ years of engineering or technical deployment experience that includes customer-facing work
Have scoped and delivered complex systems in fast-moving or ambiguous environments
Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks
Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience
Simplify complexity and make fast, sound decisions under pressure
Communicate clearly with engineers, product teams, and customer stakeholders
Spot risks early and adjust without slowing down
Model calm and judgment when the stakes are high
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "305a4b22-7ff9-4fa5-9229-c6a22c9aa64f", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/305a4b22-7ff9-4fa5-9229-c6a22c9aa64f", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-forward-deployed-engineer-fde-nyc-b474e8dd", "title": "Forward Deployed Engineer (FDE) - NYC", "company": "OpenAI", "location": "Remote", "salary": "$162K - $280K", "salaryMin": 162000, "salaryMax": 280000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/cf31f5f6-4e67-4695-808c-9cdd2e1fa3b1", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.
About the role
Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.
You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.
This role is based in NYC. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.
In this role you will
Own technical delivery across multiple deployments from first prototype to stable production
Build full-stack systems that deliver customer value and sharpen how we learn
Embed closely with customer teams, understand their needs, and guide adoption of what you build
Scope work, sequence delivery, and remove blockers early
Make trade-offs between scope, speed, and quality; adjust plans to protect delivery
Contribute directly in the code when progress or clarity depends on it
Codify working patterns into tools, playbooks, or building blocks that others can use
Share field feedback that helps Research and Product understand where the models succeed and where they can improve
Keep teams moving through clarity and follow-through
You might thrive in this role if you
Bring 5+ years of engineering or technical deployment experience that includes customer-facing work
Have scoped and delivered complex systems in fast-moving or ambiguous environments
Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks
Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience
Simplify complexity and make fast, sound decisions under pressure
Communicate clearly with engineers, product teams, and customer stakeholders
Spot risks early and adjust without slowing down
Model calm and judgment when the stakes are high
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "cf31f5f6-4e67-4695-808c-9cdd2e1fa3b1", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/cf31f5f6-4e67-4695-808c-9cdd2e1fa3b1", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-forward-deployed-engineer-dublin-5416086e", "title": "Forward Deployed Engineer - Dublin", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/b40efa93-da3c-4593-bc98-03d203cd0488", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.
About the role
Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.
You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.
This role is based in Dublin. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.
In this role you will
Own technical delivery across multiple deployments from first prototype to stable production
Build full-stack systems that deliver customer value and sharpen how we learn
Embed closely with customer teams, understand their needs, and guide adoption of what you build
Scope work, sequence delivery, and remove blockers early
Make trade-offs between scope, speed, and quality; adjust plans to protect delivery
Contribute directly in the code when progress or clarity depends on it
Codify working patterns into tools, playbooks, or building blocks that others can use
Share field feedback that helps Research and Product understand where the models succeed and where they can improve
Keep teams moving through clarity and follow-through
You might thrive in this role if you
Bring 5+ years of engineering or technical deployment experience that includes customer-facing work
Have scoped and delivered complex systems in fast-moving or ambiguous environments
Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks
Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience
Simplify complexity and make fast, sound decisions under pressure
Communicate clearly with engineers, product teams, and customer stakeholders
Spot risks early and adjust without slowing down
Model calm and judgment when the stakes are high
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "b40efa93-da3c-4593-bc98-03d203cd0488", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/b40efa93-da3c-4593-bc98-03d203cd0488", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-forward-deployed-engineer-paris-3203327c", "title": "Forward Deployed Engineer - Paris", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/9ddb1bd1-3ee0-4350-88f7-3710057b8c93", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.
About the role
Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.
You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.
This role is based in Paris. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.
In this role you will
Own technical delivery across multiple deployments from first prototype to stable production
Build full-stack systems that deliver customer value and sharpen how we learn
Embed closely with customer teams, understand their needs, and guide adoption of what you build
Scope work, sequence delivery, and remove blockers early
Make trade-offs between scope, speed, and quality; adjust plans to protect delivery
Contribute directly in the code when progress or clarity depends on it
Codify working patterns into tools, playbooks, or building blocks that others can use
Share field feedback that helps Research and Product understand where the models succeed and where they can improve
Keep teams moving through clarity and follow-through
You might thrive in this role if you
Bring 5+ years of engineering or technical deployment experience that includes customer-facing work
Have scoped and delivered complex systems in fast-moving or ambiguous environments
Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks
Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience
Simplify complexity and make fast, sound decisions under pressure
Communicate clearly with engineers, product teams, and customer stakeholders
Spot risks early and adjust without slowing down
Model calm and judgment when the stakes are high
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "9ddb1bd1-3ee0-4350-88f7-3710057b8c93", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/9ddb1bd1-3ee0-4350-88f7-3710057b8c93", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-ai-deployment-engineer-tokyo-c908dd17", "title": "AI Deployment Engineer - Tokyo", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/4762783e-61e1-4d36-af1d-8dee3c5f70e2", "descriptionHtml": "About the Team
The Technical Success team is responsible for ensuring developers and enterprises are successful in building scalable production applications with the OpenAI API platform. We guide and support customers to achieve maximum benefits, value, and adoption from deploying our highly-capable models. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.
About the Role
We are looking for a technically savvy and business-minded AI Deployment Engineer to deeply partner with our most strategic and high-impact platform customers, guiding them through application ideation, development, delivery, and scale to accelerate and maximize the value of what they build with our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner for collecting and delivering high fidelity feedback to Product and Research teams.
This role is based in Tokyo, Japan. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees
In this role, you will:
Deeply embed with our most strategic platform customers, serving as their technical thought partner in ideating and building novel applications on our API.
Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value.
Experiment and prototype solutions with and for your customers.
Forge and manage relationships with our customers’ leadership and stakeholders to ensure their application’s successful deployment and scale.
Contribute to our open-source developer and enterprise resources.
Scale the AI Deployment Engineering function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories.
Validate, synthesize, and deliver high-signal feedback to the Product and Research teams.
Use your expertise in programming with Python and Javascript.
You’ll thrive in this role if you:
Have 5+ years of technical consulting (or equivalent) experience.
Are proficient in Python and Javascript.
Are fluent in both Japanese and English, as this is essential for partnering with customers, providing technical expertise, demonstrating value, and collaborating effectively with teams at headquarters.
Built and/or delivered prototypes on top of our API platform.
Led complex technical projects and programs with many stakeholders.
Can proactively identify opportunities for maximizing our customers’ business value through leveraging the OpenAI API.
Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done to ensure both your team and our customers succeed.
Have a humble attitude and an eagerness to help others with empathy.
Operate with high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthlessly prioritize.
Thrive in dynamic environments and can navigate ambiguity with ease.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI", "remote" ], "rawSourceId": "4762783e-61e1-4d36-af1d-8dee3c5f70e2", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/4762783e-61e1-4d36-af1d-8dee3c5f70e2", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-forward-deployed-engineer-munich-67178c8a", "title": "Forward Deployed Engineer - Munich", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/05223b5a-5ff1-4fe7-9f97-4ef7fc68b8ef", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.
About the role
Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.
You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.
This role is based in Munich. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.
In this role you will
Own technical delivery across multiple deployments from first prototype to stable production
Build full-stack systems that deliver customer value and sharpen how we learn
Embed closely with customer teams, understand their needs, and guide adoption of what you build
Scope work, sequence delivery, and remove blockers early
Make trade-offs between scope, speed, and quality; adjust plans to protect delivery
Contribute directly in the code when progress or clarity depends on it
Codify working patterns into tools, playbooks, or building blocks that others can use
Share field feedback that helps Research and Product understand where the models succeed and where they can improve
Keep teams moving through clarity and follow-through
You might thrive in this role if you
Bring 5+ years of engineering or technical deployment experience that includes customer-facing work
Have scoped and delivered complex systems in fast-moving or ambiguous environments
Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks
Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience
Simplify complexity and make fast, sound decisions under pressure
Communicate clearly with engineers, product teams, and customer stakeholders
Spot risks early and adjust without slowing down
Model calm and judgment when the stakes are high
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "05223b5a-5ff1-4fe7-9f97-4ef7fc68b8ef", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/05223b5a-5ff1-4fe7-9f97-4ef7fc68b8ef", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-forward-deployed-engineer-tokyo-a9390fe2", "title": "Forward Deployed Engineer - Tokyo", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/51b17595-3a70-43be-a333-3a3952303284", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.
About the role
Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.
You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.
This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Travel is expected in this role, mainly within Japan.
To succeed in this position you must be fully bilingual—fluent in both Japanese and English (spoken and written). Please note that your resume must be submitted in English, and the interview process will include conversations in both languages.
In this role you will
Own technical delivery across multiple deployments from first prototype to stable production
Build full-stack systems that deliver customer value and sharpen how we learn
Embed closely with customer teams, understand their needs, and guide adoption of what you build
Scope work, sequence delivery, and remove blockers early
Make trade-offs between scope, speed, and quality; adjust plans to protect delivery
Contribute directly in the code when progress or clarity depends on it
Codify working patterns into tools, playbooks, or building blocks that others can use
Share field feedback that helps Research and Product understand where the models succeed and where they can improve
Keep teams moving through clarity and follow-through
You might thrive in this role if you
Bring 5+ years of engineering or technical deployment experience that includes customer-facing work
Have scoped and delivered complex systems in fast-moving or ambiguous environments
Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks
Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience
Simplify complexity and make fast, sound decisions under pressure
Communicate clearly with engineers, product teams, and customer stakeholders
Spot risks early and adjust without slowing down
Model calm and judgment when the stakes are high
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "51b17595-3a70-43be-a333-3a3952303284", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/51b17595-3a70-43be-a333-3a3952303284", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-ai-deployment-engineer-startups-4404d5c4", "title": "AI Deployment Engineer, Startups", "company": "OpenAI", "location": "", "salary": "$198K - $280K", "salaryMin": 198000, "salaryMax": 280000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/71e7252f-abb1-4b74-8e69-318413042357", "descriptionHtml": "About the team
The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.
About the Role
We are seeking a technically proficient, business-minded AI Deployment Engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Startups AI Deployment Lead.
This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
Partner closely with strategic startup customers as their technical thought partner to build novel applications on our API, helping them rapidly move from ideation to scale.
Provide proactive guidance to maximize business impact and accelerate application development.
Experiment and prototype alongside customers, demonstrating practical use cases.
Contribute to open-source resources and scale the function by sharing knowledge, codifying best practices, and publishing useful resources.
Synthesize and deliver valuable feedback to the Product and Research teams.
Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.
You’ll thrive in this role if you:
Have 5+ years of experience as a software engineer, ML engineer or equivalent, ideally in a startup environment; experience as a founder or founding engineer is highly valued.
Have passion for startups and a belief in their potential to become future large enterprises.
Are proficient in Python, JavaScript, and a strong grasp of AI/LLM best practices.
Built and/or delivered prototypes on top of our API platform.
Can proactively identify opportunities for maximizing our customers’ business value through leveraging the OpenAI API.
Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.
Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.
Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI" ], "rawSourceId": "71e7252f-abb1-4b74-8e69-318413042357", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/71e7252f-abb1-4b74-8e69-318413042357", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-ai-deployment-engineer-public-sector-federal-civilian-6034b289", "title": "AI Deployment Engineer, Public Sector - Federal Civilian", "company": "OpenAI", "location": "Remote", "salary": "$137K - $250.2K", "salaryMin": 137000, "salaryMax": 250200, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/be7b1bf5-37ab-40f7-9ec1-e9732244f12a", "descriptionHtml": "About the team
The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As an AI Deployment Engineer (ADE) in the OpenAI for Government team, you’ll help government agencies transform their organization through solutions such as automated content generation, contextual search, and novel applications that make use of our newest, most exciting models and technology.
About the Role
We are looking for a driven solutions leader with a product mindset to partner with our public sector customers and ensure they achieve tangible value with GenAI. You will pair with government agencies (federal, state, and local), policymakers, and other public institutions to establish a GenAI strategy and identify the highest value applications. You’ll then partner with their technical teams, subject matter experts, systems integrators, and implementation partners to move from prototype through production. You’ll take a holistic view of their needs and design an architecture using the OpenAI API and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Global Affairs, Applied Research, and Product teams.
This role is based in Washington, DC. We offer relocation support to new employees.
In this role, you will:
Deeply embed with our most sophisticated public sector customers as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API and other OpenAI products.
Work with senior customer stakeholders to identify the best applications of AI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap.
Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance, often in collaboration with systems integrators and implementation partners.
Forge and manage relationships with our customers’ and implementation partners’ leadership and stakeholders to ensure the successful deployment and scale of their applications.
Contribute to our open-source developer and enterprise resources.
Scale the AI Deployment Engineering function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories.
Validate, synthesize, and deliver high-signal feedback to the Product, Engineering, and Research teams.
You’ll thrive in this role if you:
Bring 7+ years of technical consulting (or equivalent) experience with public sector customers (U.S. federal civilian preferred), bridging technical teams and senior stakeholders.
Have successfully led GenAI or traditional ML implementations for government agencies in close collaboration with systems integrators and implementation partners.
Are an effective and polished communicator who can translate business and technical topics to all audiences.
Have industry experience in programming languages like Python or Javascript.
Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.
Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.
Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI", "remote" ], "rawSourceId": "be7b1bf5-37ab-40f7-9ec1-e9732244f12a", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/be7b1bf5-37ab-40f7-9ec1-e9732244f12a", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-partner-ai-deployment-engineer-cb013bf7", "title": "Partner AI Deployment Engineer", "company": "OpenAI", "location": "Remote", "salary": "$197K - $278K", "salaryMin": 197000, "salaryMax": 278000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/552396f4-dc83-43de-9230-6301e5f461bd", "descriptionHtml": "About the team
The AI Deployment Engineering (ADE) team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer’s industry and to drive these initiatives from prototype to production through hands-on technical guidance and partnership.
As a Partner ADE, you’ll support systems integrators and their most strategic customers transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.
About the role
We are looking for a driven solutions leader with a product mindset as the founding Partner ADE to own the technical engagement with our systems integrators (including GSIs, RSIs, and boutique SIs) and ensure their customers achieve tangible business value with GenAI. You will help partners identify high-value use cases and provide technical enablement through the implementation of AI solutions. Your efforts will accelerate partners’ time to unlock distribution and adoption, ensuring they deliver exceptional results for our joint customers while maintaining high-quality standards. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Head of Solutions Architecture.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
Deeply embed with GSIs, RSIs, and boutique SIs as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API for their customers.
Work with senior SI and customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap.
Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance.
Forge and manage relationships with SI and customer stakeholders to ensure the successful deployment and scale of their applications.
Codify solution packages and architectural patterns to accelerate time to deployment for customers and partners.
Lead technical support during partners' initial projects to ensure successful implementations and mentor their technical teams towards self-sufficiency in delivering OpenAI-powered solutions.
Scale the Partner Solutions Architect function by sharing knowledge, codifying best practices, contributing resources to our open-source repositories, and publishing resources to internal and external knowledge bases.
Validate, synthesize, and deliver high-signal feedback to the Product and Research teams.
You’ll thrive in this role if you:
Have 8+ years of technical consulting (or equivalent) experience, managing C-level technical and business relationships with complex global organizations.
Have led complex technical projects and programs with many stakeholders, ideally within or through an SI.
Have industry experience in programming languages like Python or Javascript.
Have led complex implementations of Generative AI and/or traditional ML solutions.
Have built and/or delivered prototypes using the OpenAI API.
Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders.
Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.
Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI", "remote" ], "rawSourceId": "552396f4-dc83-43de-9230-6301e5f461bd", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/552396f4-dc83-43de-9230-6301e5f461bd", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-forward-deployed-engineer-gov-3ad82f4c", "title": "Forward Deployed Engineer, Gov", "company": "OpenAI", "location": "Remote", "salary": "$145.8K - $280K", "salaryMin": 145800, "salaryMax": 280000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/db5a708d-1d7a-4aa3-8dd3-0d0423b6b69f", "descriptionHtml": "About the team
The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise, ChatGPT Gov) and mission-aligned deployments that meet government technical requirements with strong reliability and safety.
About the role
Forward Deployed Engineers (FDEs) lead complex deployments of frontier models in production. You will embed with our most strategic government and public sector customers—where model performance matters, delivery is urgent, and ambiguity is the default. You’ll map their problems, structure delivery, and ship fast. This includes scoping, sequencing, and building full-stack solutions that create measurable value, while driving clarity across internal and external teams.
You will work directly with defense, intelligence, and federal stakeholders as their technical thought partner, guiding adoption, maximizing mission impact, and ensuring successful deployments at scale. Along the way, you’ll identify reusable patterns, codify best practices, and share field signal that influences OpenAI’s roadmap.
This role is based in Washington DC, Seattle or San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required, including on-site work with customers.
In this role you will
Own technical delivery across multiple government deployments, from first prototype to stable production.
Deeply embed with public sector customers to design and build novel applications powered by OpenAI models.
Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications.
Prototype and build full-stack systems using Python, JavaScript, or comparable stacks that deliver real mission impact.
Proactively guide customers on maximizing business and operational value from their applications.
Forge and manage relationships with customer leadership and stakeholders, ensuring successful deployment and scale.
Scope work, sequence delivery, and remove blockers early—making trade-offs between scope, speed, and quality.
Contribute directly in the code when clarity or momentum depends on it.
Codify working patterns into tools, playbooks, or building blocks others can use.
Share field feedback with Research and Product to influence model and product development.
Keep teams moving through clarity, judgment, and consistent follow-through.
You might thrive in this role if you
Bring 5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments.
Active TS/SCI clearance or equivalent
Have scoped and delivered complex systems in fast-moving or ambiguous contexts.
Write and review production-grade code across frontend and backend, using Python, JavaScript, or similar stacks.
Are familiar with cloud deployment models (Azure, AWS), Kubernetes, Terraform, and related infrastructure.
Have experience building or deploying systems powered by LLMs or generative models, and understand how model behavior affects product experience.
Simplify complexity, make fast, sound decisions under pressure, and communicate clearly across technical and non-technical audiences.
Spot risks early, adjust without slowing down, and model calm judgment when stakes are high.
Are humble, collaborative, and eager to help others with empathy.
Operate with high horsepower, thrive in dynamic environments, and can ruthlessly prioritize across multiple projects.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "db5a708d-1d7a-4aa3-8dd3-0d0423b6b69f", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/db5a708d-1d7a-4aa3-8dd3-0d0423b6b69f", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-ai-deployment-engineer-startups-c3946835", "title": "AI Deployment Engineer, Startups", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/ac1de598-3891-4d1b-bbb6-4c3997a8bef8", "descriptionHtml": "About the team
The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.
About the Role
We are seeking a technically proficient, business-minded AI Deployment Engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Startups Solutions Architecture Lead.
This role will be based remotely in Bangalore.
In this role, you will:
Partner closely with strategic startup customers as their technical thought partner to build novel applications on our API, helping them rapidly move from ideation to scale.
Provide proactive guidance to maximize business impact and accelerate application development.
Experiment and prototype alongside customers, demonstrating practical use cases.
Contribute to open-source resources and scale the function by sharing knowledge, codifying best practices, and publishing useful resources.
Synthesize and deliver valuable feedback to the Product and Research teams.
Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.
You’ll thrive in this role if you:
Have 5+ years of experience as a software engineer, ML engineer or equivalent, ideally in a startup environment; experience as a founder or founding engineer is highly valued.
Have passion for startups and a belief in their potential to become future large enterprises.
Are proficient in Python, JavaScript, and a strong grasp of AI/LLM best practices.
Built and/or delivered prototypes on top of our API platform.
Can proactively identify opportunities for maximizing our customers’ business value through leveraging the OpenAI API.
Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.
Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.
Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI", "remote" ], "rawSourceId": "ac1de598-3891-4d1b-bbb6-4c3997a8bef8", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/ac1de598-3891-4d1b-bbb6-4c3997a8bef8", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-ai-deployment-engineer-chatgpt-ecosystem-a57f4dab", "title": "AI Deployment Engineer- ChatGPT Ecosystem", "company": "OpenAI", "location": "", "salary": "$252K - $335K", "salaryMin": 252000, "salaryMax": 335000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/c9acc73a-b118-4802-bb51-87f3d57df883", "descriptionHtml": "About the team
The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, ensuring developers and enterprises maximize value from our models and products.
The AI Deployment Engineering team, part of Technical Success, is focused on enabling high-impact and strategic customers and partners. They collaborate closely to resolve technical challenges, provide deep expertise, and co-build innovative ecosystem experiences that highlight the broader advantages of partnering with OpenAI.
About the role
We’re hiring a AI Deployment Engineer to help shape the next generation of OpenAI’s partner ecosystem in ChatGPT across applications and commerce. Acting as the dedicated technical resource for strategic partners, you’ll drive solution design and the co-development of innovative experiences that highlight the full potential of our platform.
You’ll provide expert technical guidance while collaborating with Partnerships, Product, Engineering, and GTM teams, reporting into Technical Success.
This role is based in our SF or NYC office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
Deliver an exceptional partner experience by providing technical expertise, scoping use cases, and supporting the development of Apps in ChatGPT and commerce checkout experiences with technical stakeholders and strategic partners.
Partner with our Partnerships team to design and support ecosystem integrations, ensuring technical feasibility and high-impact launches.
Guide partners on best practices for leveraging the OpenAI API and ChatGPT to create secure, scalable, and differentiated experiences.
Serve as the first line of defense for design, security, compliance, and architecture questions, escalating complex requirements to internal experts as needed.
Create and maintain documentation, implementation guides, and FAQs for common partner requirements and technical challenges.
Gather partner feedback and represent the voice of the ecosystem to internal teams, helping shape product roadmaps and future partner programs.
You’ll thrive in this role if you:
Have 5+ years of experience in a technical, customer-facing role such as Solutions Engineer, Solutions Architect, or Partner Engineer.
Demonstrate a strong understanding of and experience working with LLMs, MCP, REST APIs, Python, JavaScript, and front-end design and development experience
Have experience supporting ecosystem or partner motions, including co-development or joint go-to-market programs.
Are an exceptional communicator who can translate complex technical concepts to business stakeholders and executives.
Operate with high horsepower, manage multiple projects simultaneously, and thrive in a fast-changing environment with evolving commercial structures.
Bring a collaborative, humble attitude with an eagerness to help partners and internal teams succeed.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI" ], "rawSourceId": "c9acc73a-b118-4802-bb51-87f3d57df883", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/c9acc73a-b118-4802-bb51-87f3d57df883", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-forward-deployed-engineer-london-feed0a31", "title": "Forward Deployed Engineer - London", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/cf83e70e-6949-480f-ad97-df0f22cd0283", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.
About the role
Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.
You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.
This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.
In this role you will
Own technical delivery across multiple deployments from first prototype to stable production
Build full-stack systems that deliver customer value and sharpen how we learn
Embed closely with customer teams, understand their needs, and guide adoption of what you build
Scope work, sequence delivery, and remove blockers early
Make trade-offs between scope, speed, and quality; adjust plans to protect delivery
Contribute directly in the code when progress or clarity depends on it
Codify working patterns into tools, playbooks, or building blocks that others can use
Share field feedback that helps Research and Product understand where the models succeed and where they can improve
Keep teams moving through clarity and follow-through
You might thrive in this role if you
Bring 5+ years of engineering or technical deployment experience that includes customer-facing work
Have scoped and delivered complex systems in fast-moving or ambiguous environments
Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks
Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience
Simplify complexity and make fast, sound decisions under pressure
Communicate clearly with engineers, product teams, and customer stakeholders
Spot risks early and adjust without slowing down
Model calm and judgment when the stakes are high
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "cf83e70e-6949-480f-ad97-df0f22cd0283", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/cf83e70e-6949-480f-ad97-df0f22cd0283", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-forward-deployed-software-engineer-munich-bfa1c6d6", "title": "Forward Deployed Software Engineer - Munich", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/07d62dc2-9bbc-4149-ba43-d4ab748a21f4", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.
About the Role
We are looking for customer-focused software engineers to build effective custom software that leverages OpenAI’s APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements.
You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback.
This role is based in Munich. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.
In this role, you will:
Embed deeply with strategic customers to understand their business challenges and technical requirements in detail.
Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach.
Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments.
Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure.
Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedback
Contribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function.
You’ll thrive in this role if you:
7+ years of professional full stack engineering experience (excluding internships) in relevant roles at tech and product-driven companies - customer-facing experience is highly desirable
Former founder, or early engineer at a startup who has built a product from scratch is a plus
Experience with relational databases like Postgres/MySQL
Have a bias for action and willingness to work iteratively with your customers to deliver the right solution that solves their problem.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "07d62dc2-9bbc-4149-ba43-d4ab748a21f4", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/07d62dc2-9bbc-4149-ba43-d4ab748a21f4", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-forward-deployed-software-engineer-london-898b57fb", "title": "Forward Deployed Software Engineer - London", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/54b2072e-4c1c-40e4-b2dc-ec51d9d0ab60", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.
About the Role
We are looking for customer-focused software engineers to build effective custom software that leverages OpenAI’s APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements.
You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback.
This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.
In this role, you will:
Embed deeply with strategic customers to understand their business challenges and technical requirements in detail.
Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach.
Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments.
Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure.
Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedback
Contribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function.
You’ll thrive in this role if you:
7+ years of professional full stack engineering experience (excluding internships) in relevant roles at tech and product-driven companies - customer-facing experience is highly desirable
Former founder, or early engineer at a startup who has built a product from scratch is a plus
Experience with relational databases like Postgres/MySQL
Have a bias for action and willingness to work iteratively with your customers to deliver the right solution that solves their problem.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "54b2072e-4c1c-40e4-b2dc-ec51d9d0ab60", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/54b2072e-4c1c-40e4-b2dc-ec51d9d0ab60", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-forward-deployed-software-engineer-dublin-6f3bc337", "title": "Forward Deployed Software Engineer - Dublin", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/63003bd5-05c8-408a-8d5a-8f5deb16113f", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.
About the Role
We are looking for customer-focused software engineers to build effective custom software that leverages OpenAI’s APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements.
You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback.
This role is based in Dublin. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.
In this role, you will:
Embed deeply with strategic customers to understand their business challenges and technical requirements in detail.
Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach.
Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments.
Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure.
Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedback
Contribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function.
You’ll thrive in this role if you:
7+ years of professional full stack engineering experience (excluding internships) in relevant roles at tech and product-driven companies - customer-facing experience is highly desirable
Former founder, or early engineer at a startup who has built a product from scratch is a plus
Experience with relational databases like Postgres/MySQL
Have a bias for action and willingness to work iteratively with your customers to deliver the right solution that solves their problem.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "63003bd5-05c8-408a-8d5a-8f5deb16113f", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/63003bd5-05c8-408a-8d5a-8f5deb16113f", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-forward-deployed-software-engineer-nyc-3f79b85d", "title": "Forward Deployed Software Engineer - NYC", "company": "OpenAI", "location": "Remote", "salary": "$153K - $325K", "salaryMin": 153000, "salaryMax": 325000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/533c0fc9-b773-476d-9f96-a0528efbab0e", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.
About the Role
We are looking for customer-focused software engineers to build effective custom software that leverages OpenAI’s APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements.
You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback.
This role is based in NYC. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.
In this role, you will:
Embed deeply with strategic customers to understand their business challenges and technical requirements in detail.
Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach.
Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments.
Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure.
Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedback
Contribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function.
You’ll thrive in this role if you:
7+ years of professional full stack engineering experience (excluding internships) in relevant roles at tech and product-driven companies - customer-facing experience is highly desirable
Former founder, or early engineer at a startup who has built a product from scratch is a plus
Experience with relational databases like Postgres/MySQL
Have a bias for action and willingness to work iteratively with your customers to deliver the right solution that solves their problem.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "533c0fc9-b773-476d-9f96-a0528efbab0e", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/533c0fc9-b773-476d-9f96-a0528efbab0e", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-forward-deployed-software-engineer-tokyo-dff3e599", "title": "Forward Deployed Software Engineer - Tokyo", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/e98851f0-08d7-42ef-a499-dc96d8f96dab", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.
About the Role
We are looking for customer-focused software engineers to build effective custom software that leverages OpenAI’s APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements.
You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback.
This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
To succeed in this position you must be fully bilingual—fluent in both Japanese and English (spoken and written). Please note that your resume must be submitted in English, and the interview process will include conversations in both languages.
In this role, you will:
Embed deeply with strategic customers to understand their business challenges and technical requirements in detail.
Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach.
Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments.
Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure.
Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedback
Contribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function.
You’ll thrive in this role if you:
7+ years of professional full stack engineering experience (excluding internships) in relevant roles at tech and product-driven companies - customer-facing experience is highly desirable
Former founder, or early engineer at a startup who has built a product from scratch is a plus
Experience with relational databases like Postgres/MySQL
Have a bias for action and willingness to work iteratively with your customers to deliver the right solution that solves their problem.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "e98851f0-08d7-42ef-a499-dc96d8f96dab", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/e98851f0-08d7-42ef-a499-dc96d8f96dab", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-ai-deployment-engineer-codex-de4ac8ef", "title": "AI Deployment Engineer- Codex", "company": "OpenAI", "location": "", "salary": "$197K - $278K", "salaryMin": 197000, "salaryMax": 278000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/ca7e4019-bf93-42fd-8f15-fac59c6e237c", "descriptionHtml": "About the team
The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software.
About the Role
We are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt.
This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.
In this role, you will:
Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.
Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.
Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.
Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.
Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.
Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.
Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.
Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.
You’ll thrive in this role if you:
Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.
Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.
Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.
Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven.
Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.
Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.
Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.
Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI" ], "rawSourceId": "ca7e4019-bf93-42fd-8f15-fac59c6e237c", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/ca7e4019-bf93-42fd-8f15-fac59c6e237c", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-forward-deployed-software-engineer-singapore-c1aa09c0", "title": "Forward Deployed Software Engineer - Singapore", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/d952e0d3-44e1-464c-a8c8-4b812023cca6", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.
About the Role
We are looking for customer-focused software engineers to build effective custom software that leverages OpenAI’s APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements.
You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback.
This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. 50% travel is expected.
In this role, you will:
Embed deeply with strategic customers to understand their business challenges and technical requirements in detail.
Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach.
Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments.
Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure.
Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedback
Contribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function.
You’ll thrive in this role if you:
7+ years of professional full stack engineering experience (excluding internships) in relevant roles at tech and product-driven companies - customer-facing experience is highly desirable
Former founder, or early engineer at a startup who has built a product from scratch is a plus
Experience with relational databases like Postgres/MySQL
Have a bias for action and willingness to work iteratively with your customers to deliver the right solution that solves their problem.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "d952e0d3-44e1-464c-a8c8-4b812023cca6", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/d952e0d3-44e1-464c-a8c8-4b812023cca6", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-ai-deployment-engineer-2e25d7ae", "title": "AI Deployment Engineer", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/04435c05-7a05-4802-894d-c173327fbac8", "descriptionHtml": "About the Team
The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As an AI Deployment Engineer, you’ll help the largest companies transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.
About the Role
We are looking for a driven solutions leader with a product mindset to partner with our customers and ensure they achieve tangible business value with GenAI. You will pair with senior customer leaders to establish a GenAI strategy and identify the highest value applications. You’ll then partner with their technical teams to move from prototype through production. You’ll take a holistic view of their needs and design an enterprise architecture using ChatGPT, OpenAI API, and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Head of Technical Success, APAC.
This role is based in Seoul, South Korea. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees
In this role, you will:
Deeply embed with our most strategic platform customers as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API.
Work with senior customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap.
Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance.
Forge and manage relationships with our customers’ leadership and stakeholders to ensure the successful deployment and scale of their applications.
Contribute to our open-source developer and enterprise resources.
Scale the Solutions Architect function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories.
Validate, synthesize, and deliver high-signal feedback to the Product and Research teams.
You’ll thrive in this role if you:
Have 6+ years of technical consulting (or equivalent) experience, bridging technical teams and senior business stakeholders.
Are an effective and polished communicator who can translate business and technical topics to all audiences.
Have led complex implementations of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.
Have industry experience in programming languages like Python or Javascript.
Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.
Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.
Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI", "remote" ], "rawSourceId": "04435c05-7a05-4802-894d-c173327fbac8", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/04435c05-7a05-4802-894d-c173327fbac8", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-ai-deployment-engineer-58c28f1a", "title": "AI Deployment Engineer", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/8acfba11-707e-4d8e-a860-88643fae24ba", "descriptionHtml": "About the Team
The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As an AI Deployment Engineer, you’ll help the largest companies transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.
About the Role
We are looking for a driven solutions leader with a product mindset to partner with our customers and ensure they achieve tangible business value with GenAI. You will pair with senior customer leaders to establish a GenAI strategy and identify the highest value applications. You’ll then partner with their technical teams to move from prototype through production. You’ll take a holistic view of their needs and design an enterprise architecture using ChatGPT, OpenAI API, and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Head of Technical Success, APAC.
This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees
In this role, you will:
Deeply embed with our most strategic platform customers as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API.
Work with senior customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap.
Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance.
Forge and manage relationships with our customers’ leadership and stakeholders to ensure the successful deployment and scale of their applications.
Contribute to our open-source developer and enterprise resources.
Scale the Solutions Architect function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories.
Validate, synthesize, and deliver high-signal feedback to the Product and Research teams.
You’ll thrive in this role if you:
Have 6+ years of technical consulting (or equivalent) experience, bridging technical teams and senior business stakeholders.
Are an effective and polished communicator who can translate business and technical topics to all audiences.
Have led complex implementations of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.
Have industry experience in programming languages like Python or Javascript.
Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.
Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.
Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI", "remote" ], "rawSourceId": "8acfba11-707e-4d8e-a860-88643fae24ba", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/8acfba11-707e-4d8e-a860-88643fae24ba", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-ai-deployment-engineer-codex-897850e7", "title": "AI Deployment Engineer- Codex", "company": "OpenAI", "location": "Remote", "salary": "$197K - $278K", "salaryMin": 197000, "salaryMax": 278000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/4f4221ef-f2bc-4dc1-9086-69ba126e4903", "descriptionHtml": "About the team
The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software.
About the Role
We are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt.
This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.
In this role, you will:
Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.
Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.
Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.
Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.
Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.
Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.
Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.
Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.
You’ll thrive in this role if you:
Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.
Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.
Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.
Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven.
Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.
Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.
Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.
Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI", "remote" ], "rawSourceId": "4f4221ef-f2bc-4dc1-9086-69ba126e4903", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/4f4221ef-f2bc-4dc1-9086-69ba126e4903", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-ai-deployment-engineer-chatgpt-ecosystem-348702e4", "title": "AI Deployment Engineer- ChatGPT Ecosystem", "company": "OpenAI", "location": "Remote", "salary": "$200.8K - $345K", "salaryMin": 200800, "salaryMax": 345000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/387e28ec-a4db-42da-9448-b6dbb7b13901", "descriptionHtml": "About the team
The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, ensuring developers and enterprises maximize value from our models and products.
The AI Deployment Engineering team, part of Technical Success, is focused on enabling high-impact and strategic customers and partners. They collaborate closely to resolve technical challenges, provide deep expertise, and co-build innovative ecosystem experiences that highlight the broader advantages of partnering with OpenAI.
About the role
We’re hiring a AI Deployment Engineer to help shape the next generation of OpenAI’s partner ecosystem in ChatGPT across applications and commerce. Acting as the dedicated technical resource for strategic partners, you’ll drive solution design and the co-development of innovative experiences that highlight the full potential of our platform.
You’ll provide expert technical guidance while collaborating with Partnerships, Product, Engineering, and GTM teams, reporting into Technical Success.
In this role, you will:
Deliver an exceptional partner experience by providing technical expertise, scoping use cases, and supporting the development of Apps in ChatGPT and commerce checkout experiences with technical stakeholders and strategic partners.
Partner with our Partnerships team to design and support ecosystem integrations, ensuring technical feasibility and high-impact launches.
Guide partners on best practices for leveraging the OpenAI API and ChatGPT to create secure, scalable, and differentiated experiences.
Serve as the first line of defense for design, security, compliance, and architecture questions, escalating complex requirements to internal experts as needed.
Create and maintain documentation, implementation guides, and FAQs for common partner requirements and technical challenges.
Gather partner feedback and represent the voice of the ecosystem to internal teams, helping shape product roadmaps and future partner programs.
You’ll thrive in this role if you:
Have 5+ years of experience in a technical, customer-facing role such as Solutions Engineer, Solutions Architect, or Partner Engineer.
Demonstrate a strong understanding of and experience working with LLMs, MCP, REST APIs, Python, JavaScript, and front-end design and development experience
Have experience supporting ecosystem or partner motions, including co-development or joint go-to-market programs.
Are an exceptional communicator who can translate complex technical concepts to business stakeholders and executives.
Operate with high horsepower, manage multiple projects simultaneously, and thrive in a fast-changing environment with evolving commercial structures.
Bring a collaborative, humble attitude with an eagerness to help partners and internal teams succeed.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI", "remote" ], "rawSourceId": "387e28ec-a4db-42da-9448-b6dbb7b13901", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/387e28ec-a4db-42da-9448-b6dbb7b13901", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-manager-forward-deployed-engineering-munich-94688721", "title": "Manager, Forward Deployed Engineering - Munich", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/1bbcccd1-777b-4788-b77a-4dffe64fac06", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.
About the role
As an FDE manager, you’ll lead FDEs through high-stakes, ambiguous customer deployments and own technical and business value outcomes end to end. You’ll grow a team that can operate under pressure and help OpenAI learn from the field.
You’ll partner closely with Product, Research, Sales, and GTM to ensure fieldwork informs roadmap priorities, drives new exploration, and supports safe deployment at scale. Your decisions will influence how OpenAI is trusted by the customers closest to our deployment work. Your success will be measured by how consistently your team ships, how clearly you deliver signal to Research and Product, and how durable your team and delivery model prove to be.
This role is based in Munich. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. This role also will require travel up to 25%.
In this role you will
Lead and grow a team of FDE delivering production systems with frontier models.
Own end-to-end delivery outcomes through clarity, speed, tight coordination, and technical quality.
Codify what works into tools, playbooks, and roadmap inputs that create leverage for both OpenAI and our wider developer community.
Notice early indicators and raise them with urgency, whether in product behavior, customer environments, or delivery practices.
Use judgement to distinguish what requires action and what does not.
Set a high bar for FDE performance and support each person’s growth through direct, actionable feedback.
Define how we staff and support field teams that can scale without added complexity.
You might thrive in this role if you
Bring 8+ years of engineering or technical delivery experience, including 2+ years managing high-performing FDE or customer-facing engineers.
Have led high-pressure technical projects from prototype to production.
Write and review production-grade code across frontend and backend using Javascript or Python.
Simplify complex work and make fast, sound decisions under pressure.
Elevate team performance through clarity, not process.
Operate with urgency in ambiguous or evolving environments.
Translate field experience into sharp, actionable feedback for Product and Research.
Build deep trust with your team by modeling calm, focus, and judgment when it matters most.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "1bbcccd1-777b-4788-b77a-4dffe64fac06", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/1bbcccd1-777b-4788-b77a-4dffe64fac06", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-ai-deployment-engineer-codex-0eaf6b4c", "title": "AI Deployment Engineer | Codex", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/03e9c605-5b93-4589-888d-959a8071b9be", "descriptionHtml": "About the team
The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software.
About the Role
We are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt.
This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.
In this role, you will:
Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.
Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.
Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.
Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.
Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.
Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.
Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.
Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.
You’ll thrive in this role if you:
Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.
Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.
Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.
Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven.
Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.
Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.
Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.
Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI", "remote" ], "rawSourceId": "03e9c605-5b93-4589-888d-959a8071b9be", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/03e9c605-5b93-4589-888d-959a8071b9be", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-platform-engineer-forward-deployed-engineering-fde-sf-53bf8720", "title": "Platform Engineer, Forward Deployed Engineering (FDE) -SF", "company": "OpenAI", "location": "Remote", "salary": "$230K - $385K", "salaryMin": 230000, "salaryMax": 385000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/059ac93e-3fc9-42e9-a4f4-367c0fd5de14", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering (FDE) org sits at the intersection of product, engineering, research, and go-to-market. We take frontier platform capabilities into the real world with design partners, turning raw customer signal into shipped software, repeatable patterns, and durable products.
The FDE Platform team is primarily a leverage function that scales the FDE org’s impact to OpenAI’s platform and products. We provide hands-on leverage by embedding with customer-tagged FDE pods to aid in architecting, product shaping, refactoring, and building. This team is perfect for highly collaborative software engineers who love innovating on cutting-edge products with other builders.
About the role
Platform Engineer is a role within Forward Deployed Engineering (FDE) for strong software and ML engineers who want to build new platform capabilities from scratch, grounded in real customer deployments.
You will partner with customer-tagged FDEs who are driving delivery and customer outcomes, and embed where you can provide the highest leverage. In practice that means working in the trenches on architecture, product shaping, refactoring, hardening, and reusable abstractions, while preserving the pod’s ownership of customer understanding and day-to-day execution. You will also collaborate closely with our B2B Platform Team and other long-term owners to align early on what should generalize, what should remain customer-specific, and what “ready for handoff” looks like.
This role does not require travel. It is based in San Francisco or New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel is optional-by-project and typically
In this role you will
Provide hands-on leverage to customer pods: embed with customer-tagged FDE teams to support generalization, contributing directly in architecture, product shaping, refactoring, and implementation.
Turn repeated signals into platform bets: translate cross-customer patterns into crisp hypotheses with clear success criteria, scope, and a validation plan that fits real account constraints.
Raise the engineering bar through tooling and mentorship: set org-wide quality norms through high-signal code review and pairing, and build lightweight developer tooling that makes good architecture, readability, and correctness the default across FDE.
Collaborate as part of cross-functional platform teams: partner closely with B2B Product, customer-tagged FDEs, ops, and business partners to bring the right products and platform capabilities to market.
Lead complex platform capabilities end-to-end when needed: for high-leverage primitives like our Context Platform, act as DRI from requirements through implementation, make key tradeoffs explicit, and pull in customer pods early to keep the work grounded in real deployments.
You might thrive in this role if you
Bring 5+ years of software engineering or ML engineering experience with a track record of shipping 0→1 capabilities that other engineers or customers depend on. Experience in high-ambiguity, fast-iteration environments (startups or product-centric teams) is a plus.
Have owned customer-adjacent technical work end-to-end, from scoping and hypothesis-setting through production adoption, and improved outcomes through structured iteration (instrumentation, evals, error analysis, and tightening success criteria over time).
Have built or operated systems where reliability, security, and governance materially shaped design (permissions/RBAC, auditability, data access boundaries, rollout safety, observability, and incident-driven hardening).
Communicate clearly across engineering, product, go-to-market, and executive audiences, simplifying complex ideas and translating technical tradeoffs into adoption impact, sequencing decisions, and measurable outcomes. You can credibly “pitch” a platform bet in a customer conversation.
Default to systems thinking: you turn ambiguous feedback, failures, and escalations into durable product requirements and reusable platform capabilities, not one-off fixes or bespoke delivery work.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "059ac93e-3fc9-42e9-a4f4-367c0fd5de14", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/059ac93e-3fc9-42e9-a4f4-367c0fd5de14", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-platform-engineer-forward-deployed-engineering-fde-nyc-11252488", "title": "Platform Engineer, Forward Deployed Engineering (FDE) - NYC", "company": "OpenAI", "location": "Remote", "salary": "$230K - $385K", "salaryMin": 230000, "salaryMax": 385000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/45ab8896-06bd-4c8e-bb76-914483d5d180", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering (FDE) org sits at the intersection of product, engineering, research, and go-to-market. We take frontier platform capabilities into the real world with design partners, turning raw customer signal into shipped software, repeatable patterns, and durable products.
The FDE Platform team is primarily a leverage function that scales the FDE org’s impact to OpenAI’s platform and products. We provide hands-on leverage by embedding with customer-tagged FDE pods to aid in architecting, product shaping, refactoring, and building. This team is perfect for highly collaborative software engineers who love innovating on cutting-edge products with other builders.
About the role
Platform Engineer is a role within Forward Deployed Engineering (FDE) for strong software and ML engineers who want to build new platform capabilities from scratch, grounded in real customer deployments.
You will partner with customer-tagged FDEs who are driving delivery and customer outcomes, and embed where you can provide the highest leverage. In practice that means working in the trenches on architecture, product shaping, refactoring, hardening, and reusable abstractions, while preserving the pod’s ownership of customer understanding and day-to-day execution. You will also collaborate closely with our B2B Platform Team and other long-term owners to align early on what should generalize, what should remain customer-specific, and what “ready for handoff” looks like.
This role does not require travel. It is based in San Francisco or New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel is optional-by-project and typically
In this role you will
Provide hands-on leverage to customer pods: embed with customer-tagged FDE teams to support generalization, contributing directly in architecture, product shaping, refactoring, and implementation.
Turn repeated signals into platform bets: translate cross-customer patterns into crisp hypotheses with clear success criteria, scope, and a validation plan that fits real account constraints.
Raise the engineering bar through tooling and mentorship: set org-wide quality norms through high-signal code review and pairing, and build lightweight developer tooling that makes good architecture, readability, and correctness the default across FDE.
Collaborate as part of cross-functional platform teams: partner closely with B2B Product, customer-tagged FDEs, ops, and business partners to bring the right products and platform capabilities to market.
Lead complex platform capabilities end-to-end when needed: for high-leverage primitives like our Context Platform, act as DRI from requirements through implementation, make key tradeoffs explicit, and pull in customer pods early to keep the work grounded in real deployments.
You might thrive in this role if you
Bring 5+ years of software engineering or ML engineering experience with a track record of shipping 0→1 capabilities that other engineers or customers depend on. Experience in high-ambiguity, fast-iteration environments (startups or product-centric teams) is a plus.
Have owned customer-adjacent technical work end-to-end, from scoping and hypothesis-setting through production adoption, and improved outcomes through structured iteration (instrumentation, evals, error analysis, and tightening success criteria over time).
Have built or operated systems where reliability, security, and governance materially shaped design (permissions/RBAC, auditability, data access boundaries, rollout safety, observability, and incident-driven hardening).
Communicate clearly across engineering, product, go-to-market, and executive audiences, simplifying complex ideas and translating technical tradeoffs into adoption impact, sequencing decisions, and measurable outcomes. You can credibly “pitch” a platform bet in a customer conversation.
Default to systems thinking: you turn ambiguous feedback, failures, and escalations into durable product requirements and reusable platform capabilities, not one-off fixes or bespoke delivery work.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "45ab8896-06bd-4c8e-bb76-914483d5d180", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/45ab8896-06bd-4c8e-bb76-914483d5d180", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-platform-engineering-manager-forward-deployed-engineering-f0c9f9bf", "title": "Platform Engineering Manager, Forward Deployed Engineering (FDE)", "company": "OpenAI", "location": "Remote", "salary": "$302K - $335K", "salaryMin": 302000, "salaryMax": 335000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/b073abb1-cf6c-4fd9-a318-732fdd2f1408", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering (FDE) org sits at the intersection of product, engineering, research, and go-to-market. We take frontier platform capabilities into the real world with design partners, turning raw customer signal into shipped software, repeatable patterns, and durable products.
The FDE Platform team is primarily a leverage function that scales the FDE org’s impact to OpenAI’s platform and products. We provide hands-on leverage by embedding with customer-tagged FDE pods to aid in architecting, product shaping, refactoring, and building. This team is perfect for highly collaborative software engineers who love innovating on cutting-edge products with other builders.
About the role
As the Engineering Manager for Platform FDE, you will lead a small team that acts as a multiplier for the broader FDE org. Your mandate is to increase the rate at which customer-grounded ideas become durable, generalizable platform bets, by providing hands-on product and engineering leverage to customer-tagged pods.
You will partner with customer-tagged FDEs who are driving delivery and customer outcomes, and embed Platform FDE capacity where they can provide the highest leverage. In practice that means working in the trenches on architecture, product shaping, refactoring, hardening, and reusable abstractions, while preserving the pod’s ownership of customer understanding and day-to-day execution. You will also collaborate closely with our B2B Platform Team and other long-term owners to align early on what should generalize, what should remain customer-specific, and what “ready for handoff” looks like.
This role requires a combination of engineering leadership and strong product-oriented judgment. You will manage a focused portfolio of platform incubation work with explicit hypotheses, success criteria, and measurable adoption outcomes, and you will be accountable for translating deployment signal into reusable capabilities that can be handed off cleanly to long-term owners. You will be expected to lead through influence across multiple stakeholders, uphold a high technical bar, and establish clear responsibility boundaries between your team, customer pods, and partner organizations.
This role is based in San Francisco or New York City and is not a travel role. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel is optional-by-project and typically
In this role you will
Guide a focused portfolio of platform bets: Steer direction for a small number of high-signal problems, with clear hypotheses, success criteria, sequencing, and measurable adoption outcomes.
Build and validate with customers: Ensure the team ships working software with design partners, instruments usage and outcomes, and iterates quickly based on real-world adoption and constraints.
Co-develop with long-term owners: Partner early with B2B Platform (and other durable owners) to align on architecture, interfaces, security/governance requirements, and handoff criteria, staying engaged through validation and the path to scale.
Maintain a high engineering bar: Set and enforce standards for design, code quality, testing, observability, and operational readiness appropriate for enterprise use.
Grow and develop the team: Coach and develop engineers through direct feedback, clear expectations, and durable team mechanisms that reinforce execution and ownership.
Operate with high judgment and influence: Make clear tradeoffs under ambiguity, communicate decisions crisply across stakeholders, and drive outcomes through partnership rather than formal authority.
You might thrive in this role if you
Bring 8+ years of engineering experience, including 2+ years managing high-performance engineers
Are deeply customer-obsessed and can partner credibly with senior stakeholders while keeping a high bar for delivery and technical rigor.
Naturally act as a shepherd: you elevate and refine others’ ideas, sharpen hypotheses, and make disciplined “scale vs pause” calls with clear reasoning.
Excel at cross-functional execution, forming tight partnerships with engineering, product, research, and GTM teams to deliver outcomes without needing formal authority.
Can build inclusive team mechanics – rotations, mentorship, and scoped ownership – that increase collaboration across teams rather than creating a gated platform group.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "b073abb1-cf6c-4fd9-a318-732fdd2f1408", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/b073abb1-cf6c-4fd9-a318-732fdd2f1408", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-technical-deployment-lead-forward-deployed-engineering-fde-409e8ea3", "title": "Technical Deployment Lead, Forward Deployed Engineering (FDE)- Platform", "company": "OpenAI", "location": "", "salary": "$198K - $335K", "salaryMin": 198000, "salaryMax": 335000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/e6df42d0-6789-459e-b77b-62d7c5fd78da", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering (FDE) org sits at the intersection of product, engineering, research, and go-to-market. We take frontier platform capabilities into the real world with design partners, turning raw customer signal into shipped software, repeatable patterns, and durable products.
The FDE Platform team is primarily a leverage function that scales the FDE org’s impact to OpenAI’s platform and products. We provide hands-on leverage by embedding with customer-tagged FDE pods to aid in architecting, product shaping, refactoring, and building. This team is perfect for highly collaborative software engineers who love innovating on cutting-edge products with other builders.
About the role
This is a founding Technical Deployment Lead (TDL) role for the FDE Platform team. You will be accountable for making our earliest design partner deployments successful, from initial scoping and success criteria through production adoption and demonstrated value.
This is an ops-heavy, technically deep role: you will drive alignment across OpenAI and customer stakeholders, run the delivery plan across interdependent workstreams, and ensure enterprise constraints are handled upfront rather than discovered late. You will work closely with B2B Platform and FDE Platform teams to drive crisp execution, clear tradeoffs, and a path to scalable rollout for our platform design partners. Success is defined by delivered outcomes and adoption in critical workflows, not activity or slideware.
Success will be measured by platform outcomes that are measured by successful deployments. Deployments should deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures).
This role is based in San Francisco or New York City. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.
In this role you will
Define pilot scope and success criteria: Partner with customer sponsors and technical leads to translate goals into a concrete plan, measurable outcomes, and clear acceptance criteria.
Own the delivery plan across work streams: Build and run integrated milestones, dependencies, and execution rhythms across Applied, platform engineers, and customer teams.
Drive stakeholder alignment and decision-making: Lead internal and external working sessions, keep tradeoffs explicit, unblock decisions, and escalate crisply when needed.
Ensure enterprise readiness from day one: Pressure-test security posture, permissions and access boundaries, audit-ability, and deployment/infra requirements as part of the delivery plan.
Manage production adoption and value realization: Drive onboarding, enablement, and change management so deployments land in real workflows and deliver measurable impact.
Run multiple deployments with rigor: Maintain clear status, risks, and mitigations across concurrent pilots, and continuously adjust plans to protect outcomes.
Convert learnings into actionable next steps: Synthesize what worked and what broke into clear requirements, sequencing proposals, and improvements to the platform delivery approach.
You might thrive in this role if you
Have 5+ years leading complex, customer-facing technical delivery where you owned outcomes end-to-end in high-ambiguity environments.
Are deeply credible with senior technical stakeholders and can whiteboard architectures, reason about enterprise deployment constraints, and go in the weeds when required.
Have strong instincts for enterprise security and governance, including permissions/RBAC, audit trails, data access boundaries, and rollout safety.
Bring an ops-first background (e.g., platform delivery leadership, technical program/delivery leadership, product/engineering operations) and a track record of driving execution through matrixed teams.
Communicate with executive presence: you can align sponsors, make tradeoffs legible, and keep teams focused on the critical path under pressure.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI" ], "rawSourceId": "e6df42d0-6789-459e-b77b-62d7c5fd78da", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/e6df42d0-6789-459e-b77b-62d7c5fd78da", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-technical-deployment-lead-forward-deployed-engineering-fde-d94fdea2", "title": "Technical Deployment Lead, Forward Deployed Engineering (FDE) - SF", "company": "OpenAI", "location": "Remote", "salary": "$198K - $335K", "salaryMin": 198000, "salaryMax": 335000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/c5a99c73-c4c4-4321-a519-e0104dc54747", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships.
About the Role
As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals.
You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities.
Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures).
This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace.
This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel between 25%- 50% is required.
In this role, you will:
Own the technical delivery plan for multiple interdependent work streams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria.
Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.
Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management.
Partner with Product and Research so platform components and research work streams land in time to support deployment goals.
Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models.
Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors.
You’ll thrive in this role if you:
Bring 7+ years of customer‑facing technical delivery leadership.
Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI.
Excel in high ambiguity environments. Know how to simplify complex and dynamic work.
Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems.
Think strategically and pattern-match. Able to step back from execution detail, recognize broader trends across deployments, and connect customer needs to scalable, reusable solutions.
Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs.
Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls.
You’re a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution.
Have expertise in at least one major sector (e.g., healthcare, energy, financial services, semiconductors, IT) to elevate solution framing and credibility.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "c5a99c73-c4c4-4321-a519-e0104dc54747", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/c5a99c73-c4c4-4321-a519-e0104dc54747", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-forward-deployed-software-engineer-seattle-ee608072", "title": "Forward Deployed Software Engineer - Seattle", "company": "OpenAI", "location": "Remote", "salary": "$153K - $325K", "salaryMin": 153000, "salaryMax": 325000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/7b90b83c-ec28-4e65-a235-6675e37b91c3", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.
About the Role
We are looking for customer-focused software engineers to build effective custom software that leverages OpenAI’s APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements.
You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback.
This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.
In this role, you will:
Embed deeply with strategic customers to understand their business challenges and technical requirements in detail.
Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach.
Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments.
Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure.
Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedback
Contribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function.
You’ll thrive in this role if you:
7+ years of professional full stack engineering experience (excluding internships) in relevant roles at tech and product-driven companies - customer-facing experience is highly desirable
Former founder, or early engineer at a startup who has built a product from scratch is a plus
Experience with relational databases like Postgres/MySQL
Have a bias for action and willingness to work iteratively with your customers to deliver the right solution that solves their problem.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "7b90b83c-ec28-4e65-a235-6675e37b91c3", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/7b90b83c-ec28-4e65-a235-6675e37b91c3", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-forward-deployed-engineer-fde-seattle-7b10d19f", "title": "Forward Deployed Engineer (FDE) - Seattle", "company": "OpenAI", "location": "", "salary": "$162K - $280K", "salaryMin": 162000, "salaryMax": 280000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/dc17edac-2993-4318-812a-14864c6f4658", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.
About the role
Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.
You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.
This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.
In this role you will
Own technical delivery across multiple deployments from first prototype to stable production
Build full-stack systems that deliver customer value and sharpen how we learn
Embed closely with customer teams, understand their needs, and guide adoption of what you build
Scope work, sequence delivery, and remove blockers early
Make trade-offs between scope, speed, and quality; adjust plans to protect delivery
Contribute directly in the code when progress or clarity depends on it
Codify working patterns into tools, playbooks, or building blocks that others can use
Share field feedback that helps Research and Product understand where the models succeed and where they can improve
Keep teams moving through clarity and follow-through
You might thrive in this role if you
Bring 5+ years of engineering or technical deployment experience that includes customer-facing work
Have scoped and delivered complex systems in fast-moving or ambiguous environments
Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks
Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience
Simplify complexity and make fast, sound decisions under pressure
Communicate clearly with engineers, product teams, and customer stakeholders
Spot risks early and adjust without slowing down
Model calm and judgment when the stakes are high
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI" ], "rawSourceId": "dc17edac-2993-4318-812a-14864c6f4658", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/dc17edac-2993-4318-812a-14864c6f4658", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-technical-deployment-lead-forward-deployed-engineering-fde-d3a0b23b", "title": "Technical Deployment Lead, Forward Deployed Engineering (FDE) - NYC", "company": "OpenAI", "location": "Remote", "salary": "$198K - $335K", "salaryMin": 198000, "salaryMax": 335000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/9f2e4897-be7d-40a1-804d-37e6608f506b", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships.
About the Role
As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals.
You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities.
Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures).
This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace.
This role is based in NYC. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel between 25%- 50% is required.
In this role, you will:
Own the technical delivery plan for multiple interdependent work streams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria.
Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.
Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management.
Partner with Product and Research so platform components and research work streams land in time to support deployment goals.
Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models.
Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors.
You’ll thrive in this role if you:
Bring 7+ years of customer‑facing technical delivery leadership.
Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI.
Excel in high ambiguity environments. Know how to simplify complex and dynamic work.
Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems.
Think strategically and pattern-match. Able to step back from execution detail, recognize broader trends across deployments, and connect customer needs to scalable, reusable solutions.
Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs.
Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls.
You’re a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution.
Have expertise in at least one major sector (e.g., healthcare, energy, financial services, semiconductors, IT) to elevate solution framing and credibility.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "9f2e4897-be7d-40a1-804d-37e6608f506b", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/9f2e4897-be7d-40a1-804d-37e6608f506b", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-onboarding-enablement-program-manager-fde-dd66d982", "title": "Onboarding & Enablement Program Manager, FDE", "company": "OpenAI", "location": "", "salary": "$177K - $251K", "salaryMin": 177000, "salaryMax": 251000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/32af2f07-0373-4a5f-8777-05894811e29a", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering (FDE) team partners with customers to turn research breakthroughs into production-grade AI systems. FDE sits at the intersection of Product, Engineering, Research, and GTM. We embed deeply with users to solve high-leverage problems and surface patterns that shape our platform. We take frontier capabilities into the real world and translate customer signal into durable solutions, repeatable patterns, and product direction.
About the role
We’re hiring an Onboarding & Enablement Program Manager to build, run, and evolve the systems that help the FDE team ramp quickly, stay current, and execute consistently as the organization scales. This role sits at the core of the team and directly shapes how effectively new engineers onboard, how knowledge from deployments becomes reusable, and how enablement keeps pace with fast-moving platform, product, and organizational change.
You will partner closely with FDE leadership and cross-functional stakeholders in Engineering, Product, and GTM to translate field learnings and evolving team needs into structured onboarding and enablement programs. You will build the systems that improve ramp speed, strengthen knowledge sharing, and increase execution consistency as the team scales. This role is a key enabler of an AI-first FDE function that scales its impact through better systems, reusable knowledge, and compounding team effectiveness rather than linear headcount growth.
This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role you will
Own FDE onboarding end-to-end, designing and operating a structured ramp experience that helps new team members become effective quickly in a complex technical environment.
Build and evolve the team’s enablement infrastructure that incorporates OpenAI tools directly into workflows, including onboarding pathways, playbooks, learning assets, and knowledge systems to continuously upskill the FDE team and embed AI-first tools and workflows into day-to-day execution.
Partner with adjacent field, deployment, and partner teams to build enablement programs, resources, and operating mechanisms that improve coordination and execution across closely related functions.
Codify patterns and lessons from FDE deployments into reusable resources that reduce repeated learning and strengthen execution across the organization.
Operate the core cadence behind onboarding and enablement, including program planning, stakeholder coordination, content refresh, and session scheduling.
Measure ramp and enablement effectiveness through concrete outcomes such as time to first deployment, adoption signals, feedback loops, and performance outcomes, then use that data to improve the system over time.
You might thrive in this role if you
Bring 5+ years in onboarding program management, enablement, learning and development, operations, or similar roles supporting technical teams in fast-paced, high-ambiguity environments.
Have built or run onboarding and enablement systems that helped new hires ramp quickly and become effective in complex technical roles.
Build in terms of compounding leverage rather than one-off solutions, building systems that help small teams achieve outsized impact through reusable knowledge, better tooling, and AI-native workflows.
Have experience translating emerging AI capabilities into practical workflows that improve how technical teams operate.
Have experience building onboarding or enablement programs that serve more than one closely related team or function, while balancing shared standards with role-specific needs.
Bring structure to ambiguity and turn fast-changing or informal knowledge into clear, repeatable systems that others can rely on.
Are comfortable working across teams and driving alignment with stakeholders across FDE leadership, Engineering, Product, and GTM.
Use data, feedback, and adoption signals to improve programs over time rather than treating rollout as the finish line.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "openai", "AI" ], "rawSourceId": "32af2f07-0373-4a5f-8777-05894811e29a", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/32af2f07-0373-4a5f-8777-05894811e29a", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-applied-ai-engineer-codex-core-agent-e1e92d48", "title": "Applied AI Engineer, Codex Core Agent", "company": "OpenAI", "location": "", "salary": "$230K - $385K", "salaryMin": 230000, "salaryMax": 385000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/577e6673-0a4a-491b-9a0d-facbdd3bdf3c", "descriptionHtml": "About the Team
The Codex Core Agent team builds the kernel of Codex. We own making the agent better, accelerating research, and making those improvements real in production for our users.
That means working across the systems that make Codex actually function as an agent in the real world: the production performance envelope around tokens, latency, reliability, cost, and capacity; the core execution loop and interfaces that turn models into useful behavior; the shared infrastructure that enables other teams to build on Codex; and the feedback loops that turn real-world usage into better models and better agent behavior over time.
About the Role
We’re looking for applied AI engineers to help bring Codex agents from impressive demos to dependable tools. This role is about improving agent performance on real software engineering tasks and closing the gap between research capability and real-world usefulness.
You’ll work closely with research, infrastructure, and product to ensure agents are not just powerful, but useful, steerable, and reliable in practice. The job is not only to improve model behavior in isolation, but to turn those improvements into measurable gains in solve rate, usefulness, and economic value for users.
What You’ll Do
Design and iterate on agent behaviors across real-world coding tasks and long-horizon workflows.
Work closely with research to develop and run evals to measure agent performance, regressions, failure modes, and edge cases.
Improve performance through prompting, tool-use strategies, context construction, and model-facing experimentation.
Analyze failures in production and systematically improve robustness and reliability.
Build feedback loops and data systems that get better real-task data into evaluation and research.
Work with product teams to shape user-facing agent experiences and the interfaces the agent depends on.
Help define what “good” looks like for agents completing complex tasks end-to-end.
You Might Be a Good Fit If You
Have experience building or shipping machine learning or LLM-powered products.
Are strong in Python and comfortable with modern ML tooling.
Have worked on model evaluation, fine-tuning, or prompt design.
Think in terms of systems and user outcomes, not just model metrics.
Enjoy debugging messy, real-world failures and turning them into improvements.
Want to work in the layer that turns research and model potential into systems that actually work for users.
Bonus Points
Experience with agent frameworks or tool-using LLM systems.
Research experiencewith code generation models or developer tooling.
Experience working with large, messy datasets or production logs.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "applied-AI", "openai", "AI" ], "rawSourceId": "577e6673-0a4a-491b-9a0d-facbdd3bdf3c", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/577e6673-0a4a-491b-9a0d-facbdd3bdf3c", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-ai-deployment-engineer-startups-61e7b660", "title": "AI Deployment Engineer, Startups", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/16df5b48-917d-41d8-b0c6-dbfdf11400f7", "descriptionHtml": "AI Deployment Engineer, Startups
About the team
The AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior.
This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems.
About the role
We are seeking a technically proficient, product-minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI’s research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction.
This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high-impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice.
This role in particular will include a specific focus on building relationships with the startup ecosystem, including presenting to developer and startup audiences. You’ll require strong one to many communication skills, and should enjoy discussing high level technical trends alongside the deeper technical engagements with specific startups.
This role is based in our Singapore office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement.
Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer value.
Synthesize and deliver valuable feedback to the Product and Research teams, turning real usage patterns into clear, reproducible evals, benchmarks, and technical artifacts that improve model and product quality and ensure customer-grounded learnings influence roadmap and model development.
Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases.
Operate with strong judgment in ambiguous environments, balancing immediate technical problem-solving with longer-term system improvement.
Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.
Create technical presentations, demos, and other forms of community engagement with top developers and startups around the region.
You’ll thrive in this role if you:
Have strong software engineering & AI fundamentals. For example, experience as a software engineer, ML engineer, Data Scientist or equivalent. Experience shipping production systems end-to-end is a strong plus.
Have familiarity with, or interest in, model training pipelines and reinforcement learning.
Have experience building AI applications, agents, or evaluation systems, and can reason clearly about model behavior in complex workflows.
Are comfortable working directly with highly technical users and translating their challenges into concrete technical signals.
Can move fluidly between prototyping, debugging, evaluation design, and cross-functional collaboration.
Communicate clearly across technical and non-technical audiences.
Bring high agency, strong product sense, and a bias toward building durable improvements rather than one-off fixes
Enjoy having some days where you engage in community events and present to large audiences, and other days where you go deep on specific customer problems.
Speak multiple languages: Strong proficiency in English is required. Additional proficiency in Mandarin, Korean, and/or Japanese is a nice to have.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI", "remote" ], "rawSourceId": "16df5b48-917d-41d8-b0c6-dbfdf11400f7", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/16df5b48-917d-41d8-b0c6-dbfdf11400f7", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-ai-deployment-engineer-codex-tokyo-4b131c09", "title": "AI Deployment Engineer, Codex | Tokyo", "company": "OpenAI", "location": "", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/6668417f-6878-4244-940f-9a99ae4ebcb0", "descriptionHtml": "About the teamThe Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software.
About the RoleWe are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt.
This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.
In this role, you will:Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.
Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.
Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.
Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.
Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.
Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.
Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.
Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.
Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.
Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.
Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.
Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven.
Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.
Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.
Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.
Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI" ], "rawSourceId": "6668417f-6878-4244-940f-9a99ae4ebcb0", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/6668417f-6878-4244-940f-9a99ae4ebcb0", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-forward-deployed-engineer-sydney-2cb21294", "title": "Forward Deployed Engineer - Sydney", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/9e39d642-6c78-4c21-bc86-49b1773c933c", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.
About the role
Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.
You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.
This role is based in Sydney. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.
In this role you will
Own technical delivery across multiple deployments from first prototype to stable production.
Build full-stack systems that deliver customer value and sharpen how we learn.
Embed closely with customer teams, understand their needs, and guide adoption of what you build.
Scope work, sequence delivery, and remove blockers early.
Make trade-offs between scope, speed, and quality; adjust plans to protect delivery.
Contribute directly in the code when progress or clarity depends on it.
Codify working patterns into tools, playbooks, or building blocks that others can use.
Share field feedback that helps Research and Product understand where the models succeed and where they can improve.
Keep teams moving through clarity and follow-through.
You might thrive in this role if you
Bring 5+ years of engineering or technical deployment experience that includes customer-facing work.
Have scoped and delivered complex systems in fast-moving or ambiguous environments.
Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks.
Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience.
Simplify complexity and make fast, sound decisions under pressure.
Communicate clearly with engineers, product teams, and customer stakeholders.
Spot risks early and adjust without slowing down.
Model calm and judgment when the stakes are high.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "9e39d642-6c78-4c21-bc86-49b1773c933c", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/9e39d642-6c78-4c21-bc86-49b1773c933c", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-ai-deployment-engineer-codex-09d1d1f8", "title": "AI Deployment Engineer | Codex", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/744e5dde-a51f-445c-bc4a-f9ddb68e2fc2", "descriptionHtml": "About the team
The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software.
About the Role
We are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt.
This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.
In this role, you will:
Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.
Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.
Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.
Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.
Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.
Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.
Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.
Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.
You’ll thrive in this role if you:
Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.
Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.
Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.
Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven.
Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.
Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.
Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.
Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI", "remote" ], "rawSourceId": "744e5dde-a51f-445c-bc4a-f9ddb68e2fc2", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/744e5dde-a51f-445c-bc4a-f9ddb68e2fc2", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-ai-deployment-engineer-codex-india-d7aacc53", "title": "AI Deployment Engineer, Codex | India", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/1a4befe6-a438-40b2-863e-d4843fb3f90a", "descriptionHtml": "About the team
The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software.
About the Role
We are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt.
This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.
This role is based in Bangalore.
In this role, you will:
Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.
Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.
Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.
Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.
Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.
Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.
Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.
Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.
You’ll thrive in this role if you:
Have 8+ years of post-sales engineering or solutions architecture, working directly with customers.
Have 2+ years of software engineering experience and a strong understanding of the software development life cycle.
Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.
Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.
Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven.
Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.
Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.
Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.
Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI", "remote" ], "rawSourceId": "1a4befe6-a438-40b2-863e-d4843fb3f90a", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/1a4befe6-a438-40b2-863e-d4843fb3f90a", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-partner-ai-deployment-engineer-aws-c43316fd", "title": "Partner AI Deployment Engineer - AWS", "company": "OpenAI", "location": "", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/4071e415-36d6-4bc2-95e9-6196102f0ad5", "descriptionHtml": "About the team
The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems.
As a Partner AI Deployment Engineer focused on AWS, you will operate at the center of one of our most strategic partnerships, driving joint customer success and enabling AWS and partner ecosystems to scale adoption of OpenAI-powered solutions.
About the role
We are looking for a highly experienced technical leader to serve as the primary technical counterpart to AWS field leadership (Solutions Architects, Specialists, and Partner teams).
This role goes beyond individual deal support—you will shape strategy, define engagement models, and build repeatable systems that scale across AWS globally. You will work across pre- and post-sales, guiding complex enterprise customers from ideation to production while enabling AWS and partners to independently drive deployments.
You will combine deep technical expertise, strong judgment, and ecosystem leadership to maximise impact across a portfolio of high-priority opportunities.
This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:Serve as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams.
Influence joint account strategy and technical direction for high-priority opportunities.
Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices.
Proactively identify and drive net-new opportunities and high-impact use cases across the AWS ecosystem.
Lead technical strategy for large, ambiguous, and high-stakes enterprise engagements.
Guide customers from early ideation through architecture design, prototyping, and production deployment.
Act as a technical decision-maker and escalation point, de-risking complex implementations.
Apply strong judgment to prioritize opportunities and allocate limited technical resources for maximum impact.
Design and communicate end-to-end AI architectures leveraging OpenAI and AWS services.
Build and guide development of prototypes, POCs, and reference implementations to accelerate adoption.
Establish best practices for scalable, secure, and production-ready GenAI systems.
Ensure solutions are designed for repeatability, extensibility, and partner-led delivery.
Enable AWS and partners through scalable technical motions (workshops, playbooks, reference architectures, demos).
Develop reusable solution patterns and assets that can be deployed independently by AWS teams and SIs.
Mentor and uplift partner technical teams, accelerating their path to self-sufficiency.
Scale impact by working through GSIs, RSIs, and ISVs, rather than relying solely on direct engagement.
Partner closely with Alliances, Product, Engineering, GTM, and Enablement to align on strategy and execution.
Act as a bridge between field and product, delivering high-signal insights to inform roadmap and prioritization.
Contribute to internal knowledge systems and help define standards, patterns, and playbooks for the ADE function.
You’ll thrive in this role if you:
Have 8+ years of technical consulting (or equivalent) experience, managing C-level technical and business relationships with complex global organizations.
Operate as a technical leader and systems thinker, not just an individual contributor.
Balance hands-on building with strategic influence and scale.
Know when to go deep technically vs. enable others to execute.
Build trust quickly with engineers, architects, and executives alike.
Default to creating repeatable patterns, not one-off solutions.
Are comfortable owning ambiguous, high-visibility problem spaces.
Take a long-term, ecosystem-oriented view of impact.
Are motivated by driving customer and partner success at scale.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI" ], "rawSourceId": "4071e415-36d6-4bc2-95e9-6196102f0ad5", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/4071e415-36d6-4bc2-95e9-6196102f0ad5", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-forward-deployed-engineer-singapore-d0e2e853", "title": "Forward Deployed Engineer - Singapore", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/4c078f82-93b9-427c-8fd8-95de198884b4", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.
About the role
Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.
You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.
This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. 50% travel is expected.
In this role you will
Own technical delivery across multiple deployments from first prototype to stable production.
Build full-stack systems that deliver customer value and sharpen how we learn.
Embed closely with customer teams, understand their needs, and guide adoption of what you build.
Scope work, sequence delivery, and remove blockers early.
Make trade-offs between scope, speed, and quality; adjust plans to protect delivery.
Contribute directly in the code when progress or clarity depends on it.
Codify working patterns into tools, playbooks, or building blocks that others can use.
Share field feedback that helps Research and Product understand where the models succeed and where they can improve.
Keep teams moving through clarity and follow-through.
You might thrive in this role if you
Bring 5+ years of engineering or technical deployment experience that includes customer-facing work.
Have scoped and delivered complex systems in fast-moving or ambiguous environments.
Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks.
Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience.
Simplify complexity and make fast, sound decisions under pressure.
Communicate clearly with engineers, product teams, and customer stakeholders.
Spot risks early and adjust without slowing down.
Model calm and judgment when the stakes are high.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "4c078f82-93b9-427c-8fd8-95de198884b4", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/4c078f82-93b9-427c-8fd8-95de198884b4", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-manager-forward-deployed-engineering-london-b042728a", "title": "Manager, Forward Deployed Engineering - London", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/68f1345b-313f-4917-88ce-b281b01a4864", "descriptionHtml": "About the team
OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.
About the role
As an FDE manager, you’ll lead FDEs through high-stakes, ambiguous customer deployments and own technical and business value outcomes end to end. You’ll grow a team that can operate under pressure and help OpenAI learn from the field.
You’ll partner closely with Product, Research, Sales, and GTM to ensure fieldwork informs roadmap priorities, drives new exploration, and supports safe deployment at scale. Your decisions will influence how OpenAI is trusted by the customers closest to our deployment work. Your success will be measured by how consistently your team ships, how clearly you deliver signal to Research and Product, and how durable your team and delivery model prove to be.
This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. This role also will require travel up to 25%.
In this role you will
Lead and grow a team of FDE delivering production systems with frontier models.
Own end-to-end delivery outcomes through clarity, speed, tight coordination, and technical quality.
Codify what works into tools, playbooks, and roadmap inputs that create leverage for both OpenAI and our wider developer community.
Notice early indicators and raise them with urgency, whether in product behavior, customer environments, or delivery practices.
Use judgement to distinguish what requires action and what does not.
Set a high bar for FDE performance and support each person’s growth through direct, actionable feedback.
Define how we staff and support field teams that can scale without added complexity.
You might thrive in this role if you
Bring 8+ years of engineering or technical delivery experience, including 2+ years managing high-performing FDE or customer-facing engineers.
Have led high-pressure technical projects from prototype to production.
Write and review production-grade code across frontend and backend using Javascript or Python.
Simplify complex work and make fast, sound decisions under pressure.
Elevate team performance through clarity, not process.
Operate with urgency in ambiguous or evolving environments.
Translate field experience into sharp, actionable feedback for Product and Research.
Build deep trust with your team by modeling calm, focus, and judgment when it matters most.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "68f1345b-313f-4917-88ce-b281b01a4864", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/68f1345b-313f-4917-88ce-b281b01a4864", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-partner-ai-deployment-engineer-aws-dabc3d76", "title": "Partner AI Deployment Engineer - AWS", "company": "OpenAI", "location": "", "salary": "$197K - $278K", "salaryMin": 197000, "salaryMax": 278000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/49082e49-0755-4029-b1e9-6f389d9c3b64", "descriptionHtml": "About the team
The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems.
As a Partner AI Deployment Engineer focused on AWS, you will operate at the center of one of our most strategic partnerships, driving joint customer success and enabling AWS and partner ecosystems to scale adoption of OpenAI-powered solutions.
About the role
We are looking for a highly experienced technical leader to serve as the primary technical counterpart to AWS field leadership (Solutions Architects, Specialists, and Partner teams).
This role goes beyond individual deal support—you will shape strategy, define engagement models, and build repeatable systems that scale across AWS globally. You will work across pre- and post-sales, guiding complex enterprise customers from ideation to production while enabling AWS and partners to independently drive deployments.
You will combine deep technical expertise, strong judgment, and ecosystem leadership to maximize impact across a portfolio of high-priority opportunities.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
Strategic AWS Engagement & InfluenceServe as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams.
Influence joint account strategy and technical direction for high-priority opportunities.
Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices.
Proactively identify and drive net-new opportunities and high-impact use cases across the AWS ecosystem.
Lead technical strategy for large, ambiguous, and high-stakes enterprise engagements.
Guide customers from early ideation through architecture design, prototyping, and production deployment.
Act as a technical decision-maker and escalation point, de-risking complex implementations.
Apply strong judgment to prioritize opportunities and allocate limited technical resources for maximum impact.
Design and communicate end-to-end AI architectures leveraging OpenAI and AWS services.
Build and guide development of prototypes, POCs, and reference implementations to accelerate adoption.
Establish best practices for scalable, secure, and production-ready GenAI systems.
Ensure solutions are designed for repeatability, extensibility, and partner-led delivery.
Enable AWS and partners through scalable technical motions (workshops, playbooks, reference architectures, demos).
Develop reusable solution patterns and assets that can be deployed independently by AWS teams and SIs.
Mentor and uplift partner technical teams, accelerating their path to self-sufficiency.
Scale impact by working through GSIs, RSIs, and ISVs, rather than relying solely on direct engagement.
Partner closely with Alliances, Product, Engineering, GTM, and Enablement to align on strategy and execution.
Act as a bridge between field and product, delivering high-signal insights to inform roadmap and prioritization.
Contribute to internal knowledge systems and help define standards, patterns, and playbooks for the ADE function.
You’ll thrive in this role if you:
Have 8+ years of technical consulting (or equivalent) experience, managing C-level technical and business relationships with complex global organizations.
Operate as a technical leader and systems thinker, not just an individual contributor.
Balance hands-on building with strategic influence and scale.
Know when to go deep technically vs. enable others to execute.
Build trust quickly with engineers, architects, and executives alike.
Default to creating repeatable patterns, not one-off solutions.
Are comfortable owning ambiguous, high-visibility problem spaces.
Take a long-term, ecosystem-oriented view of impact.
Are motivated by driving customer and partner success at scale.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI" ], "rawSourceId": "49082e49-0755-4029-b1e9-6f389d9c3b64", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/49082e49-0755-4029-b1e9-6f389d9c3b64", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-ai-deployment-engineer-codex-f206fcd3", "title": "AI Deployment Engineer | Codex", "company": "OpenAI", "location": "", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/8335b0cb-bad7-4f10-9e44-b245ccc2842e", "descriptionHtml": "About the team
The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software.
About the Role
We are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt.
This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.
In this role, you will:
Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.
Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.
Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.
Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.
Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.
Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.
Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.
Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.
You’ll thrive in this role if you:
Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.
Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.
Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.
Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven.
Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.
Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.
Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.
Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI" ], "rawSourceId": "8335b0cb-bad7-4f10-9e44-b245ccc2842e", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/8335b0cb-bad7-4f10-9e44-b245ccc2842e", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-ai-deployment-engineer-codex-0c5a0c8d", "title": "AI Deployment Engineer- Codex", "company": "OpenAI", "location": "Remote", "salary": "$197K - $278K", "salaryMin": 197000, "salaryMax": 278000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/179b998f-ae76-4de7-a4d0-c2c30d0b0bc8", "descriptionHtml": "About the team
The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software.
About the Role
We are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt.
This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.
In this role, you will:
Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.
Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.
Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.
Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.
Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.
Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.
Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.
Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.
You’ll thrive in this role if you:
Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.
Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.
Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.
Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven.
Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.
Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.
Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.
Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI", "remote" ], "rawSourceId": "179b998f-ae76-4de7-a4d0-c2c30d0b0bc8", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/179b998f-ae76-4de7-a4d0-c2c30d0b0bc8", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-ai-deployment-engineer-codex-korea-47658431", "title": "AI Deployment Engineer, Codex | Korea", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/47aaae94-69e8-464b-a7f6-ffe898ee1731", "descriptionHtml": "About the Team
The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software.
About the Role
We are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt.
This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.
This role is based in Seoul. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees
In this role, you will:
Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.
Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.
Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.
Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.
Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.
Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.
Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.
Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.
You might thrive in this role if you:
Have 8+ years of post-sales engineering or solutions architecture, working directly with customers.
Have 2+ years of software engineering experience and a strong understanding of the software development life cycle.
Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.
Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.
Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven.
Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.
Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.
Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.
Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI", "remote" ], "rawSourceId": "47aaae94-69e8-464b-a7f6-ffe898ee1731", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/47aaae94-69e8-464b-a7f6-ffe898ee1731", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-ai-deployment-engineer-startups-f88e0d7b", "title": "AI Deployment Engineer - Startups", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/193d33d8-4993-4220-bc5d-cfd792d7e583", "descriptionHtml": "About the team
The AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior.
This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems.
This role is based in Paris. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. We require fluency in French for this role.
About the role
We are seeking a technically proficient, product-minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI’s research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction.
This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high-impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice.
In this role, you will:
Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement.
Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer value.
Synthesize and deliver valuable feedback to the Product and Research teams, turning real usage patterns into clear, reproducible evals, benchmarks, and technical artifacts that improve model and product quality and ensure customer-grounded learnings influence roadmap and model development.
Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases.
Operate with strong judgment in ambiguous environments, balancing immediate technical problem-solving with longer-term system improvement.
Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.
You’ll thrive in this role if you:
Have strong software engineering & AI fundamentals. For example, experience as a startup CTO, software engineer, ML engineer, Data Scientist or equivalent. Experience shipping production systems end-to-end is a strong plus.
Have experience as a technical founder, or engineer at an early stage startup
Have familiarity with, or interest in, model training pipelines and reinforcement learning.
Have experience building AI applications, agents, or evaluation systems, and can reason clearly about model behavior in complex workflows.
Are comfortable working directly with highly technical users and translating their challenges into concrete technical signals.
Can move fluidly between prototyping, debugging, evaluation design, and cross-functional collaboration.
Communicate clearly across technical and non-technical audiences.
Bring high agency, strong product sense, and a bias toward building durable improvements rather than one-off fixes
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI", "remote" ], "rawSourceId": "193d33d8-4993-4220-bc5d-cfd792d7e583", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/193d33d8-4993-4220-bc5d-cfd792d7e583", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-ai-deployment-engineer-codex-sydney-53b130df", "title": "AI Deployment Engineer, Codex | Sydney", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/d8665fa8-89f3-4414-824d-3a3fcc883de5", "descriptionHtml": "About the team
The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software.
About the Role
We are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt.
This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.
This role is based in Sydney. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees
In this role, you will:
Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.
Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.
Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.
Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.
Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.
Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.
Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.
Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.
You’ll thrive in this role if you:
Have 8+ years of post-sales engineering or solutions architecture, working directly with customers.
Have 2+ years of software engineering experience and a strong understanding of the software development life cycle.
Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.
Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.
Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven.
Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.
Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.
Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.
Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI", "remote" ], "rawSourceId": "d8665fa8-89f3-4414-824d-3a3fcc883de5", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/d8665fa8-89f3-4414-824d-3a3fcc883de5", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-ai-deployment-engineer-startups-b819772e", "title": "AI Deployment Engineer - Startups", "company": "OpenAI", "location": "", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/980bc2ea-2c35-4546-bb48-5496a4e6847f", "descriptionHtml": "About the team
The AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior.
This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems.
About the role
We are seeking a technically proficient, product-minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI’s research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction.
This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high-impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice.
This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance.
In this role, you will:
Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement.
Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer value.
Synthesize and deliver valuable feedback to the Product and Research teams, turning real usage patterns into clear, reproducible evals, benchmarks, and technical artifacts that improve model and product quality and ensure customer-grounded learnings influence roadmap and model development.
Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases.
Operate with strong judgment in ambiguous environments, balancing immediate technical problem-solving with longer-term system improvement.
Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.
You’ll thrive in this role if you:
Have strong software engineering & AI fundamentals. For example, experience as a startup CTO, software engineer, ML engineer, Data Scientist or equivalent. Experience shipping production systems end-to-end is a strong plus.
Have experience as a technical founder, or engineer at an early stage startup
Have familiarity with, or interest in, model training pipelines and reinforcement learning.
Have experience building AI applications, agents, or evaluation systems, and can reason clearly about model behavior in complex workflows.
Are comfortable working directly with highly technical users and translating their challenges into concrete technical signals.
Can move fluidly between prototyping, debugging, evaluation design, and cross-functional collaboration.
Communicate clearly across technical and non-technical audiences.
Bring high agency, strong product sense, and a bias toward building durable improvements rather than one-off fixes
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI" ], "rawSourceId": "980bc2ea-2c35-4546-bb48-5496a4e6847f", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/980bc2ea-2c35-4546-bb48-5496a4e6847f", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-ai-deployment-engineer-startups-6af41dcb", "title": "AI Deployment Engineer - Startups", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/75cdb2fe-5841-4649-8d88-a133deb94696", "descriptionHtml": "About the team
The AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior.
This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems.
This role is based in Munich. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. We require proficiency in German for this role.
About the role
We are seeking a technically proficient, product-minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI’s research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction.
This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high-impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice.
In this role, you will:
Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement.
Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer value.
Synthesize and deliver valuable feedback to the Product and Research teams, turning real usage patterns into clear, reproducible evals, benchmarks, and technical artifacts that improve model and product quality and ensure customer-grounded learnings influence roadmap and model development.
Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases.
Operate with strong judgment in ambiguous environments, balancing immediate technical problem-solving with longer-term system improvement.
Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.
You’ll thrive in this role if you:
Have strong software engineering & AI fundamentals. For example, experience as a startup CTO, software engineer, ML engineer, Data Scientist or equivalent. Experience shipping production systems end-to-end is a strong plus.
Have experience as a technical founder, or engineer at an early stage startup
Have familiarity with, or interest in, model training pipelines and reinforcement learning.
Have experience building AI applications, agents, or evaluation systems, and can reason clearly about model behavior in complex workflows.
Are comfortable working directly with highly technical users and translating their challenges into concrete technical signals.
Can move fluidly between prototyping, debugging, evaluation design, and cross-functional collaboration.
Communicate clearly across technical and non-technical audiences.
Bring high agency, strong product sense, and a bias toward building durable improvements rather than one-off fixes
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI", "remote" ], "rawSourceId": "75cdb2fe-5841-4649-8d88-a133deb94696", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/75cdb2fe-5841-4649-8d88-a133deb94696", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-ai-deployment-engineer-startups-16d35f1e", "title": "AI Deployment Engineer, Startups", "company": "OpenAI", "location": "", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/348f768c-5c08-427c-b77a-30a1ff53100c", "descriptionHtml": "About the team
The AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior.
This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems.
About the role
We are seeking a technically proficient, product-minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI’s research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction.
This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high-impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice.
This role is based in our Sydney office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement.
Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer value.
Synthesize and deliver valuable feedback to the Product and Research teams, turning real usage patterns into clear, reproducible evals, benchmarks, and technical artifacts that improve model and product quality and ensure customer-grounded learnings influence roadmap and model development.
Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases.
Operate with strong judgment in ambiguous environments, balancing immediate technical problem-solving with longer-term system improvement.
Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.
You’ll thrive in this role if you:
Have strong software engineering & AI fundamentals. For example, experience as a software engineer, ML engineer, Data Scientist or equivalent. Experience shipping production systems end-to-end is a strong plus.
Have familiarity with, or interest in, model training pipelines and reinforcement learning.
Have experience building AI applications, agents, or evaluation systems, and can reason clearly about model behavior in complex workflows.
Are comfortable working directly with highly technical users and translating their challenges into concrete technical signals.
Can move fluidly between prototyping, debugging, evaluation design, and cross-functional collaboration.
Communicate clearly across technical and non-technical audiences.
Bring high agency, strong product sense, and a bias toward building durable improvements rather than one-off fixes.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI" ], "rawSourceId": "348f768c-5c08-427c-b77a-30a1ff53100c", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/348f768c-5c08-427c-b77a-30a1ff53100c", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-design-verification-forward-deployed-engineering-8e90e711", "title": "Design Verification, Forward Deployed Engineering", "company": "OpenAI", "location": "Remote", "salary": "$162K - $302K", "salaryMin": 162000, "salaryMax": 302000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/77f87617-4dc5-45af-9b6b-2f408e45a119", "descriptionHtml": "About the TeamOpenAI’s Forward Deployed Engineering team partners with leading semiconductor companies to deploy production-grade AI systems across the entire chip design lifecycle: design, verification, and physical design. We operate at the intersection of customer delivery and core platform development, embedding deeply with customers to translate frontier model capabilities into systems that materially reduce design cycles, improve verification quality, and accelerate innovation.
Our work turns early, high-touch deployments into reusable solution patterns, evaluation practices, and technical playbooks that scale across the semiconductor ecosystem.
About the RoleWe are seeking an experienced Design Verification Engineer to join our semiconductor-focused Forward Deployed Engineering team. This is an IC role that will begin with a strong emphasis on design verification expertise, evaluation curation, and technical leverage across deployments, with the expectation that the person will grow into a broader Forward Deployed Engineering role over time.
In the near term, you will serve as a senior technical SME for verification workflows: helping FDEs, Product, and Research teams understand how DV work is done in practice, pressure-testing AI-assisted verification ideas against real engineering workflows, and raising the quality of our solutions through deep domain judgment. You will help the broader team build fluency in verification methodology, tooling, and trade-offs.
Over time, we expect this role to expand beyond SME support into broader FDE ownership: partnering directly with customers, shaping deployment strategy, building and iterating production-grade AI systems, driving technical workstreams, and helping turn high-touch semiconductor deployments into repeatable solutions.
This is a strong fit for someone who brings deep design verification expertise today and is excited to grow into a customer-facing, systems-building, delivery-oriented FDE role.
In this role, you will:Serve as the design verification SME for semiconductor deployments, helping teams reason about verification workflows across block, subsystem, and SoC environments
Shape AI-assisted workflows for test generation, regression triage, debug, root-cause analysis, and coverage closure
Curate evaluations with FDEs and customer SMEs, including golden tasks, labeled examples, rubrics, acceptance criteria, and realistic benchmarks grounded in solved issues and real engineering workflows
Build lightweight prototypes, eval harnesses, and tooling that validate opportunities and improve solution quality
Educate and mentor the broader FDE team on verification concepts, tooling, and methodology so the org can engage semiconductor workflows with greater depth and confidence
Partner with FDEs during customer discovery and scoping to translate ambiguous pain points into clear solution hypotheses, success criteria, and technical plans
Support customer-facing technical conversations as a trusted advisor, engaging credibly with technical leaders
Progressively take on broader FDE responsibilities, including customer discovery, solution architecture, prototype development, production deployment, and ownership of technical workstreams
BS/MS in EE, CE, CS, or equivalent with 5+ years of experience in design verification for complex IP, subsystem, or SoC programs
Demonstrated success verifying complex hardware systems in industry-standard flows, with deep familiarity in block-, subsystem-, and/or top-level verification methodologies
Strong hands-on expertise in SystemVerilog, UVM, and common simulation/debug tools such as VCS, Questa, Verdi, or equivalent
Strong understanding of constrained-random verification, directed testing, scoreboards, checkers, monitors, stimulus generation, regression infrastructure, and coverage analysis
Strong knowledge of computer architecture, RTL/microarchitecture, memory systems, coherency, interconnects, and verification methodology
Experience defining verification plans, triaging bugs, and driving debug and root-cause analysis in close partnership with design teams
Strong scripting and automation skills in Python or similar; experience building verification tooling, harnesses, or workflow automation is a plus
Comfortable operating as a consultative expert who can shape technical direction, evaluate solution quality, and raise the bar across multiple deployments
Excited to grow beyond domain SME responsibilities into a broader Forward Deployed Engineering role, including hands-on solution building, customer-facing delivery, and ownership of deployment outcomes
Experience across multiple semiconductor companies, design environments, or tool stacks, with a point of view shaped by different verification cultures and methodologies
Familiarity with adjacent domains such as RTL design, formal verification, emulation, performance analysis, or physical design
Experience applying AI/LLM systems to semiconductor workflows
Experience creating reusable evals, methodology assets, or technical playbooks
Prior experience in customer-facing, consultative, field engineering, solutions engineering, or technical delivery roles
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "77f87617-4dc5-45af-9b6b-2f408e45a119", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/77f87617-4dc5-45af-9b6b-2f408e45a119", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-physical-design-engineer-forward-deployed-engineering-147b59f4", "title": "Physical Design Engineer, Forward Deployed Engineering", "company": "OpenAI", "location": "Remote", "salary": "$162K - $302K", "salaryMin": 162000, "salaryMax": 302000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/18d65004-a399-4a33-80bc-10f33bff2ed0", "descriptionHtml": "About the Team
OpenAI’s Forward Deployed Engineering team partners with leading semiconductor companies to deploy production-grade AI systems across the entire chip design lifecycle: design, verification, and physical design. We operate at the intersection of customer delivery and core platform development, embedding deeply with customers to translate frontier model capabilities into systems that materially improve engineering workflows and accelerate innovation.
Our work turns early, high-touch deployments into repeatable solution patterns, reference architectures, and evaluation practices that scale across the semiconductor ecosystem.
About the Role
We are seeking a highly skilled Physical Design Engineer to join our semiconductor-focused Forward Deployed Engineering team. This is a senior IC role that will begin with a strong emphasis on physical design expertise, technical judgment, advisory leverage, and customer credibility, with the expectation that the person will grow into a broader Forward Deployed Engineering role over time.
In the near term, you will serve as the team’s physical design SME across semiconductor deployments: helping FDEs, Product, and Research understand backend implementation workflows, pressure-test AI-assisted solution ideas against real physical design constraints, and raise the quality of our customer-facing technical work. You will help the broader team build fluency in implementation flows, EDA tooling, signoff methodology, and the trade-offs that shape physical design decisions in practice.
Over time, we expect this role to expand beyond SME support into broader FDE ownership: partnering directly with customers, shaping deployment strategy, building and iterating production-grade AI systems, driving technical workstreams, and helping turn high-touch semiconductor deployments into repeatable solutions.
This is a strong fit for someone who brings deep physical design expertise today and is excited to grow into a customer-facing, systems-building, delivery-oriented FDE role.
In this role, you will:
Serve as the physical design SME for semiconductor customer engagements, helping FDE teams understand backend implementation workflows, constraints, and opportunities
Partner with FDEs during customer discovery and scoping to translate ambiguous pain points into clear solution hypotheses, success criteria, and technical plans
Support customer-facing technical conversations as a trusted advisor, engaging credibly with technical leaders
Help shape AI-assisted solutions across physical design workflows, including floorplanning, place and route, clocking, timing closure, congestion, power, physical verification, and signoff
Guide feasibility and integration decisions across the entire chip design lifecycle: design, verification, and physical design
Partner with FDEs and customer SMEs to curate evaluation datasets, golden tasks, rubrics, and acceptance criteria for physical design use cases, ensuring evals reflect real workflows and meaningful success metrics
Build or guide lightweight prototypes, benchmarks, methodology experiments, and internal tools that validate opportunities and accelerate solution development
Educate and mentor the broader FDE team on physical design concepts, implementation flows, EDA tooling, and key trade-offs so the org can engage customers with greater depth and confidence
Surface repeated customer signal to Product and Research to help shape roadmap, model behavior, and platform capabilities for semiconductor use cases
Progressively take on broader FDE responsibilities, including customer discovery, solution architecture, prototype development, production deployment, and ownership of technical workstreams
Minimim Qualifications
BS with 7+ years, MS with 5+ years, or equivalent industry experience in physical design, physical implementation, or backend signoff for complex ASIC or SoC programs
Demonstrated success bringing complex designs through tapeout, with hands-on experience in floorplanning, place and route, CTS, timing closure, power analysis, physical verification, and signoff
Deep familiarity with industry-standard EDA tools and flows for synthesis, PNR, STA, physical verification, equivalence checking, and power analysis
Strong understanding of how physical design intersects with microarchitecture, RTL, verification, design methodology, libraries/PDKs, and system-level PPA trade-offs
Strong communication and collaboration skills, with the ability to translate deep technical trade-offs clearly in customer-facing and cross-functional settings
Comfortable operating as a consultative expert and advisor — unblocking teams, shaping decisions, and raising technical quality without necessarily being the direct implementation owner
Strong scripting and automation skills in Python, Tcl, or similar
Excited to grow beyond domain SME responsibilities into a broader Forward Deployed Engineering role, including hands-on solution building, customer-facing delivery, and ownership of deployment outcomes
Preferred Qualifications
Experience working across multiple semiconductor companies, design environments, or tool stacks, with a point of view shaped by different engineering cultures and methodologies
Experience partnering with external customers, strategic accounts, or design partners in a technical advisory capacity
Experience defining or scaling evaluation workflows, benchmarks, or acceptance criteria
Exposure to adjacent workflows such as design and/or verification
Experience applying AI/LLM systems to semiconductor workflows
Prior experience in solutions engineering, field engineering, customer-facing technical delivery, or consultative technical roles
Compensation Range: $162K - $302K USD
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "18d65004-a399-4a33-80bc-10f33bff2ed0", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/18d65004-a399-4a33-80bc-10f33bff2ed0", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-forward-deployed-security-engineer-b01c80a1", "title": "Forward Deployed Security Engineer", "company": "OpenAI", "location": "Remote", "salary": "$293K - $385K", "salaryMin": 293000, "salaryMax": 385000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/89d61ae8-1ce1-4187-9edd-da8029979e41", "descriptionHtml": "About the Team
Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture.
About the Role
Our technologies support some of the most important and impactful work in the world, including our strategic and high-impact customers in the public sector. As a Forward Deployed Security Engineer (FDSecE) you will be responsible for securing these novel applications of OpenAI’s technology. We’re looking for motivated, tenacious, and curious people who will work closely with engineering teams to ensure our infrastructure deployments are highly secure against our adversaries.
As an FDSecE, you will embed directly throughout the lifecycle, working on-site and being hands-on to ensure the overall security of these deployments from design to production and through ongoing operations.
This role is preferred to be based in Washington DC but may consider remote work. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Travel to and working from customer sites is required for this role.
In this role, you will:
Deeply embed with our most strategic public sector customers to implement and maintain robust security controls.
Be a design and technical thought partner by leveraging security expertise on protective controls including access controls, authentication, encryption, network, and system security.
Collaborate closely with teammates, cross-functional teams, customers, and service providers to achieve security and compliance goals.
Ensure continuity of critical security and monitoring controls through routine security assessments, threat monitoring, and security validation exercises.
You might thrive in this role if you have:
An active US security clearance.
5+ years of security engineering experience, with an emphasis on infrastructure security, application security, network security, datacenter security, and systems engineering.
Familiarity with deployment models, including to cloud platforms (Azure, AWS) and the underlying infrastructure primitives (Kubernetes, Terraform)
Proficiency in programming languages such as Python, Golang, or similar.
A proven track record of developing high-quality, scalable, and secure infrastructure.
Experience with security operations including insider threat monitoring, network/endpoint detection and response, or red team or penetration testing operations.
Comprehensive knowledge of modern adversary tactics, techniques, and procedures.
The ability to work collaboratively and effectively in a cross-functional team environment.
Thrive in dynamic environments and can navigate ambiguity with ease.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "FDE", "deployment", "openai", "AI", "remote" ], "rawSourceId": "89d61ae8-1ce1-4187-9edd-da8029979e41", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/89d61ae8-1ce1-4187-9edd-da8029979e41", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-partner-ai-deployment-engineer-aws-3f4a82be", "title": "Partner AI Deployment Engineer - AWS", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/48fdb9b8-af29-4250-ac92-44a0e9d60735", "descriptionHtml": "About the team
The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems.
As a Partner AI Deployment Engineer focused primarily on AWS, you will operate at the center of one of our most strategic partnerships, driving customer outcomes through AWS and partner ecosystems while supporting other strategic partners where needed.
About the role
We are looking for a highly experienced technical leader to serve as the primary technical counterpart to AWS field leadership (Solutions Architects, Specialists, and Partner teams).
This role goes beyond individual deal support—you will shape strategy, define engagement models, and build repeatable systems that scale across AWS globally. You will work across pre- and post-sales, guiding complex enterprise customers from ideation to production while enabling AWS and partners to independently drive deployments.
You will combine deep technical expertise, strong judgment, and ecosystem leadership to maximize impact across a portfolio of high-priority opportunities.
This role is based in Sydney. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
Strategic AWS Engagement & InfluenceServe as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams.
Influence joint account strategy and technical direction for high-priority opportunities.
Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices.
Proactively identify and drive net-new opportunities and high-impact use cases across the AWS ecosystem.
Lead technical strategy for large, ambiguous, and high-stakes enterprise engagements.
Guide AWS and partner teams through customer opportunities from early ideation to architecture design, prototyping, and production deployment.
Act as a technical decision-maker and escalation point, de-risking complex implementations.
Apply strong judgment to prioritize opportunities and allocate limited technical resources for maximum impact.
Design and communicate end-to-end AI architectures leveraging OpenAI and AWS services.
Build and guide development of prototypes, POCs, and reference implementations to accelerate adoption.
Establish best practices for scalable, secure, and production-ready GenAI systems.
Ensure solutions are designed for repeatability, extensibility, and partner-led delivery.
Enable AWS and partners through scalable technical motions (workshops, playbooks, reference architectures, demos).
Develop reusable solution patterns and assets that can be deployed independently by AWS teams and SIs.
Mentor and uplift partner technical teams, accelerating their path to self-sufficiency.
Scale impact by working through GSIs, RSIs, and ISVs, rather than relying solely on direct engagement.
Partner closely with Alliances, Product, Engineering, GTM, and Enablement to align on strategy and execution.
Act as a bridge between field and product, delivering high-signal insights to inform roadmap and prioritization.
Contribute to internal knowledge systems and help define standards, patterns, and playbooks for the ADE function.
You’ll thrive in this role if you:
Have 8+ years of technical consulting (or equivalent) experience, managing C-level technical and business relationships with complex global organizations.
Operate as a technical leader and systems thinker, not just an individual contributor.
Balance hands-on building with strategic influence and scale.
Know when to go deep technically vs. enable others to execute.
Build trust quickly with engineers, architects, and executives alike.
Default to creating repeatable patterns, not one-off solutions.
Are comfortable owning ambiguous, high-visibility problem spaces.
Take a long-term, ecosystem-oriented view of impact.
Are motivated by driving customer and partner success at scale.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI", "remote" ], "rawSourceId": "48fdb9b8-af29-4250-ac92-44a0e9d60735", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/48fdb9b8-af29-4250-ac92-44a0e9d60735", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-partner-ai-deployment-engineer-aws-970ed52e", "title": "Partner AI Deployment Engineer - AWS", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/28f1454f-a790-47e4-bf10-ca1834fe500b", "descriptionHtml": "About the team
The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems.
As a Partner AI Deployment Engineer focused primarily on AWS, you will operate at the center of one of our most strategic partnerships, driving customer outcomes through AWS and partner ecosystems while supporting other strategic partners where needed.
About the role
We are looking for a highly experienced technical leader to serve as the primary technical counterpart to AWS field leadership (Solutions Architects, Specialists, and Partner teams).
This role goes beyond individual deal support—you will shape strategy, define engagement models, and build repeatable systems that scale across AWS globally. You will work across pre- and post-sales, guiding complex enterprise customers from ideation to production while enabling AWS and partners to independently drive deployments.
You will combine deep technical expertise, strong judgment, and ecosystem leadership to maximize impact across a portfolio of high-priority opportunities.
This role is based in Seoul. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
Strategic AWS Engagement & InfluenceServe as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams.
Influence joint account strategy and technical direction for high-priority opportunities.
Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices.
Proactively identify and drive net-new opportunities and high-impact use cases across the AWS ecosystem.
Lead technical strategy for large, ambiguous, and high-stakes enterprise engagements.
Guide AWS and partner teams through customer opportunities from early ideation to architecture design, prototyping, and production deployment.
Act as a technical decision-maker and escalation point, de-risking complex implementations.
Apply strong judgment to prioritize opportunities and allocate limited technical resources for maximum impact.
Design and communicate end-to-end AI architectures leveraging OpenAI and AWS services.
Build and guide development of prototypes, POCs, and reference implementations to accelerate adoption.
Establish best practices for scalable, secure, and production-ready GenAI systems.
Ensure solutions are designed for repeatability, extensibility, and partner-led delivery.
Enable AWS and partners through scalable technical motions (workshops, playbooks, reference architectures, demos).
Develop reusable solution patterns and assets that can be deployed independently by AWS teams and SIs.
Mentor and uplift partner technical teams, accelerating their path to self-sufficiency.
Scale impact by working through GSIs, RSIs, and ISVs, rather than relying solely on direct engagement.
Partner closely with Alliances, Product, Engineering, GTM, and Enablement to align on strategy and execution.
Act as a bridge between field and product, delivering high-signal insights to inform roadmap and prioritization.
Contribute to internal knowledge systems and help define standards, patterns, and playbooks for the ADE function.
You’ll thrive in this role if you:
Have 8+ years of technical consulting (or equivalent) experience, managing C-level technical and business relationships with complex global organizations.
Operate as a technical leader and systems thinker, not just an individual contributor.
Balance hands-on building with strategic influence and scale.
Know when to go deep technically vs. enable others to execute.
Build trust quickly with engineers, architects, and executives alike.
Default to creating repeatable patterns, not one-off solutions.
Are comfortable owning ambiguous, high-visibility problem spaces.
Take a long-term, ecosystem-oriented view of impact.
Are motivated by driving customer and partner success at scale.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI", "remote" ], "rawSourceId": "28f1454f-a790-47e4-bf10-ca1834fe500b", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/28f1454f-a790-47e4-bf10-ca1834fe500b", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "openai-partner-ai-deployment-engineer-aws-cc8ade2e", "title": "Partner AI Deployment Engineer - AWS", "company": "OpenAI", "location": "Remote", "source": "ashby", "sourceCompany": "openai", "applyUrl": "https://jobs.ashbyhq.com/openai/87989505-81e5-4513-bba0-5f00bb064216", "descriptionHtml": "About the team
The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems.
As a Partner AI Deployment Engineer focused on AWS, you will operate at the center of one of our most strategic partnerships, driving joint customer success and enabling AWS and partner ecosystems to scale adoption of OpenAI-powered solutions.
About the role
We are looking for a highly experienced technical leader to serve as the primary technical counterpart to AWS field leadership (Solutions Architects, Specialists, and Partner teams).
This role goes beyond individual deal support—you will shape strategy, define engagement models, and build repeatable systems that scale across AWS globally. You will work across pre- and post-sales, guiding complex enterprise customers from ideation to production while enabling AWS and partners to independently drive deployments.
You will combine deep technical expertise, strong judgment, and ecosystem leadership to maximize impact across a portfolio of high-priority opportunities.
This role is based in Bangalore.
In this role, you will:
Strategic AWS Engagement & InfluenceServe as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams.
Influence joint account strategy and technical direction for high-priority opportunities.
Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices.
Proactively identify and drive net-new opportunities and high-impact use cases across the AWS ecosystem.
Lead technical strategy for large, ambiguous, and high-stakes enterprise engagements.
Guide customers from early ideation through architecture design, prototyping, and production deployment.
Act as a technical decision-maker and escalation point, de-risking complex implementations.
Apply strong judgment to prioritize opportunities and allocate limited technical resources for maximum impact.
Design and communicate end-to-end AI architectures leveraging OpenAI and AWS services.
Build and guide development of prototypes, POCs, and reference implementations to accelerate adoption.
Establish best practices for scalable, secure, and production-ready GenAI systems.
Ensure solutions are designed for repeatability, extensibility, and partner-led delivery.
Enable AWS and partners through scalable technical motions (workshops, playbooks, reference architectures, demos).
Develop reusable solution patterns and assets that can be deployed independently by AWS teams and SIs.
Mentor and uplift partner technical teams, accelerating their path to self-sufficiency.
Scale impact by working through GSIs, RSIs, and ISVs, rather than relying solely on direct engagement.
Partner closely with Alliances, Product, Engineering, GTM, and Enablement to align on strategy and execution.
Act as a bridge between field and product, delivering high-signal insights to inform roadmap and prioritization.
Contribute to internal knowledge systems and help define standards, patterns, and playbooks for the ADE function.
You’ll thrive in this role if you:
Have 8+ years of technical consulting (or equivalent) experience, managing C-level technical and business relationships with complex global organizations.
Operate as a technical leader and systems thinker, not just an individual contributor.
Balance hands-on building with strategic influence and scale.
Know when to go deep technically vs. enable others to execute.
Build trust quickly with engineers, architects, and executives alike.
Default to creating repeatable patterns, not one-off solutions.
Are comfortable owning ambiguous, high-visibility problem spaces.
Take a long-term, ecosystem-oriented view of impact.
Are motivated by driving customer and partner success at scale.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
", "tags": [ "deployment", "openai", "AI", "remote" ], "rawSourceId": "87989505-81e5-4513-bba0-5f00bb064216", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/openai/jobs/87989505-81e5-4513-bba0-5f00bb064216", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-applied-ai-architect-applied-ai-digital-natives-business-81944381", "title": "Applied AI Architect, Applied AI (Digital Natives Business)", "company": "Anthropic", "location": "Munich, Germany", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role\nAs an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
\nWorking closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
\nResponsibilities:\nPartner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
\nServe as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
\nSupport customers building with both the Claude API and Claude for Work
\nCreate and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
\nGuide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
\nHelp customers develop evaluation frameworks to measure Claude's performance for their specific use cases
\nIdentify common integration patterns and contribute insights back to our Product and Engineering teams
\nTravel occasionally to customer sites for workshops, technical deep dives, and relationship building
\nMaintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
\n5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
\nExperience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
\nExceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
\nStrong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
\nExperience designing scalable cloud architectures and integrating with enterprise systems
\nComfortable with python
\nFamiliarity with common LLM frameworks and tools or a background in machine learning or data science
\nExcitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
\nA love of teaching, mentoring, and helping others succeed
\nExcellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
\nPassion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
\nDeadline to apply: None. Applications will be reviewed on a rolling basis.
Logistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5226862008", "postedAt": "2026-05-21", "tags": [ "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "5226862008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/5226862008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-applied-ai-architect-commercial-a754e122", "title": "Applied AI Architect, Commercial", "company": "Anthropic", "location": "San Francisco, CA | New York City, NY", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:\nAs an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping customers understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your technical depth with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
\nAs a Commercial Solutions Architect, you'll go deep with priority accounts as a hands-on builder, while creating reusable blueprints, demos, and enablement that extend Claude's reach across the broader Commercial book of business.
\nWorking closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
\nResponsibilities:\nPartner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
\nServe as the primary technical advisor to customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders to drive customer success
\nSupport customers building with the Claude API, Claude Code, and Claude for Enterprise
\nShip working code. Build prototypes and proof-of-concepts hands-on, develop eval frameworks, and write near-production examples that customers can extend
\nBuild reusable blueprints, demos, and enablement assets that scale across customers
\nGuide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
\nHelp customers develop evaluation frameworks to measure Claude's performance for their specific use cases
\nIdentify common integration patterns and contribute insights back to our Product and Engineering teams
\nTravel occasionally to customer sites for workshops, technical deep dives, and relationship building
\nMaintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
\n3+ years of highly technical experience as a software engineer (or equivalent) with some customer-facing exposure, OR 3+ years as a Solutions Architect, Sales Engineer, or Technical Account Manager with strong hands-on building experience
\nA builder identity. You've shipped real software, you have technical taste, and you care about the craft of what you build
\nA systems mindset. When you see a problem, your instinct is to ask \"how do I make this reusable.\" You'd rather build one thing that serves ten customers than ten things that serve one each
\nStrong coding ability. You ship prototypes regularly and can work in a real codebase, not just notebooks. Comfort with Python expected
\nStrong ability to build trust with technical stakeholders and adjust your communication for varied audiences
\nStrong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
\nExperience designing scalable cloud architectures and integrating with enterprise systems
\nFamiliarity with common LLM frameworks and tools, or a background in machine learning or data science
\nComfort operating in early-stage, ambiguous environments where the playbook doesn't exist yet, and a track record of building structure as you go
\nExcitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
\nA love of teaching, mentoring, and helping others succeed
\nPassion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
\nThe annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:$240,000—$315,000 USDLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5192805008", "postedAt": "2026-04-24", "tags": [ "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "5192805008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/5192805008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-applied-ai-architect-enterprise-tech-dde8fc31", "title": "Applied AI Architect, Enterprise Tech", "company": "Anthropic", "location": "Boston, MA; New York City, NY; San Francisco, CA | New York City, NY; Seattle, WA; Washington, DC", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
\nAbout the role:\nAs an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
\nWorking closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
\nResponsibilities:\nPlease note this role requires 3 days in office per week.
\n\nDeadline to apply: None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:$240,000—$315,000 USDLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5065835008", "postedAt": "2026-04-24", "tags": [ "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "5065835008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/5065835008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-applied-ai-architect-federal-civilian-f141508e", "title": "Applied AI Architect, Federal Civilian", "company": "Anthropic", "location": "New York City, NY; Washington, DC", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:\nAs an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping federal civilian agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability.
\nWorking closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
\nResponsibilities:\nPartner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
\nServe as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
\nSupport customers building with Claude Code, the Claude API, and Claude for Enterprise
\nCreate and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
\nGuide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
\nHelp customers develop evaluation frameworks to measure Claude's performance for their specific use cases
\nIdentify common integration patterns and contribute insights back to our Product and Engineering teams
\nTravel frequently to customer sites for workshops, technical deep dives, and relationship building
\nMaintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
\nSecurity clearance not required, but a plus
\nMust have prior experience working with US federal agencies
\n5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
\nExperience navigating complex buying cycles involving multiple stakeholders
\nExceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
\nStrong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
\nExperience designing scalable cloud architectures and integrating with enterprise systems
\nFamiliar with Python
\nFamiliarity with common LLM frameworks and tools or a background in machine learning or data science
\nExcitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
\nA love of teaching, mentoring, and helping others succeed
\nExcellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
\nPassion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
\nThe annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:$240,000—$270,000 USDLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5079540008", "postedAt": "2026-04-24", "tags": [ "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "5079540008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/5079540008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-applied-ai-architect-government-technology-59f11804", "title": "Applied AI Architect, Government Technology", "company": "Anthropic", "location": "New York City, NY; Washington, DC", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:\nAs an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping systems integrators, startups, and other GovTech companies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability.
\nWorking closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
\nResponsibilities:\nPartner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
\nServe as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
\nSupport customers building with Claude Code, the Claude API, and Claude for Enterprise
\nCreate and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
\nGuide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
\nHelp customers develop evaluation frameworks to measure Claude's performance for their specific use cases
\nIdentify common integration patterns and contribute insights back to our Product and Engineering teams
\nTravel frequently to customer sites for workshops, technical deep dives, and relationship building
\nMaintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
\nUS Secret Clearance preferred for working with defense tech customers
\nPrior work in government, government contracting, or government tech preferred
\n5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
\nExperience navigating complex buying cycles involving multiple stakeholders
\nExceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
\nStrong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
\nExperience designing scalable cloud architectures and integrating with enterprise systems
\nFamiliar with Python
\nFamiliarity with common LLM frameworks and tools or a background in machine learning or data science
\nExcitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
\nA love of teaching, mentoring, and helping others succeed
\nExcellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
\nPassion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
\nThe annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:$240,000—$345,000 USDLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5140405008", "postedAt": "2026-04-24", "tags": [ "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "5140405008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/5140405008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-applied-ai-architect-industries-49e02471", "title": "Applied AI Architect, Industries", "company": "Anthropic", "location": "London, UK", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
\nAbout the role\nAs an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
\nWorking closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
\nResponsibilities:\nDeadline to apply: None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:£150,000—£190,000 GBPLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5031670008", "postedAt": "2026-04-24", "tags": [ "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "5031670008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/5031670008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-applied-ai-architect-industries-c181954b", "title": "Applied AI Architect, Industries", "company": "Anthropic", "location": "Paris, France", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
À propos du poste\nEn tant que membre de l'équipe d'IA appliquée chez Anthropic, vous serez un·e architecte avant-vente dont l'objectif est de devenir un conseiller technique de confiance qui aidera les grandes entreprises à comprendre la valeur de Claude et à définir leur vision de la manière dont elles peuvent intégrer et déployer Claude avec succès dans leur infrastructure technologique. Vous combinerez votre expertise technique approfondie avec des compétences en contact avec la clientèle pour concevoir des solutions LLM innovantes qui répondent à des défis commerciaux complexes tout en respectant nos normes élevées en matière de sécurité et de fiabilité.
\nEn étroite collaboration avec nos équipes de ventes, de produits et d'ingénierie, vous guiderez les clients depuis la découverte technique initiale jusqu'à la réussite du déploiement. Vous mettrez à profit votre expertise pour aider les clients à comprendre les capacités de Claude, à développer des évaluations et à concevoir des architectures évolutives qui maximisent la valeur de nos systèmes d'IA.
\nResponsabilités :\nAs an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
\nWorking closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
\nResponsibilities:\nPartner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
\nServe as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
\nSupport customers building with both the Claude API and Claude for Work
\nCreate and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
\nGuide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
\nHelp customers develop evaluation frameworks to measure Claude's performance for their specific use cases
\nIdentify common integration patterns and contribute insights back to our Product and Engineering teams
\nTravel occasionally to customer sites for workshops, technical deep dives, and relationship building
\nMaintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
\n5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
\nExperience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
\nExceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
\nStrong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
\nExperience designing scalable cloud architectures and integrating with enterprise systems
\nComfortable with python
\nFamiliarity with common LLM frameworks and tools or a background in machine learning or data science
\nExcitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
\nA love of teaching, mentoring, and helping others succeed
\nExcellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
\nPassion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
\nDeadline to apply: None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:€190.000—€215.000 EURLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/4977626008", "postedAt": "2026-04-24", "tags": [ "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "4977626008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/4977626008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-applied-ai-architect-industries-f1cbaca8", "title": "Applied AI Architect, Industries", "company": "Anthropic", "location": "Munich, Germany", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role\nAs an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
\nWorking closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
\nResponsibilities:\nPartner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
\nServe as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
\nSupport customers building with both the Claude API and Claude for Work
\nCreate and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
\nGuide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
\nHelp customers develop evaluation frameworks to measure Claude's performance for their specific use cases
\nIdentify common integration patterns and contribute insights back to our Product and Engineering teams
\nTravel occasionally to customer sites for workshops, technical deep dives, and relationship building
\nMaintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
\n5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
\nExperience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
\nExceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
\nStrong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
\nExperience designing scalable cloud architectures and integrating with enterprise systems
\nComfortable with python
\nFamiliarity with common LLM frameworks and tools or a background in machine learning or data science
\nExcitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
\nA love of teaching, mentoring, and helping others succeed
\nExcellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
\nPassion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
\nDeadline to apply: None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:€190.000—€215.000 EURLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/4977624008", "postedAt": "2026-04-24", "tags": [ "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "4977624008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/4977624008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-applied-ai-architect-industries-314f0fc7", "title": "Applied AI Architect, Industries", "company": "Anthropic", "location": "New York City, NY; San Francisco, CA | New York City, NY | Seattle, WA", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
\nAbout the role\nAs an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
\nWorking closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
\nResponsibilities:\nDeadline to apply: None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:$240,000—$315,000 USDLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/4461444008", "postedAt": "2026-04-24", "tags": [ "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "4461444008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/4461444008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-applied-ai-architect-industries-1dae0314", "title": "Applied AI Architect, Industries ", "company": "Anthropic", "location": "Zürich, CH", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role\nAs an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
\nWorking closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
\nResponsibilities:\nPartner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
\nServe as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
\nSupport customers building with both the Claude API and Claude for Work
\nCreate and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
\nGuide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
\nHelp customers develop evaluation frameworks to measure Claude's performance for their specific use cases
\nIdentify common integration patterns and contribute insights back to our Product and Engineering teams
\nTravel occasionally to customer sites for workshops, technical deep dives, and relationship building
\nMaintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
\n5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
\nNative or C1 German and French speaker with fluent English proficiency
\nExperience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
\nExceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
\nStrong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
\nExperience designing scalable cloud architectures and integrating with enterprise systems
\nComfortable with python
\nFamiliarity with common LLM frameworks and tools or a background in machine learning or data science
\nExcitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
\nA love of teaching, mentoring, and helping others succeed
\nExcellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
\nPassion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
\nDeadline to apply: None. Applications will be reviewed on a rolling basis.
Logistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5204086008", "postedAt": "2026-06-01", "tags": [ "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "5204086008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/5204086008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-applied-ai-architect-national-security-1c863c0a", "title": "Applied AI Architect, National Security", "company": "Anthropic", "location": "Washington, DC", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:\nAs an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping national security and defense agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability.
\nWorking closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
\nResponsibilities:\nPartner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
\nServe as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
\nSupport customers building with Claude Code, the Claude API, and Claude for Enterprise
\nCreate and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
\nGuide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
\nHelp customers develop evaluation frameworks to measure Claude's performance for their specific use cases
\nIdentify common integration patterns and contribute insights back to our Product and Engineering teams
\nTravel frequently to customer sites for workshops, technical deep dives, and relationship building
\nMaintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
\nTS/SCI clearance required
\nMust have prior experience working with US national security (defense and/or intelligence) agencies
\n5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
\nExperience navigating complex buying cycles involving multiple stakeholders
\nExceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
\nStrong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
\nExperience designing scalable cloud architectures and integrating with enterprise systems
\nFamiliar with Python
\nFamiliarity with common LLM frameworks and tools or a background in machine learning or data science
\nExcitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
\nA love of teaching, mentoring, and helping others succeed
\nExcellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
\nPassion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
\nThe annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:$240,000—$270,000 USDLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5079511008", "postedAt": "2026-04-24", "tags": [ "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "5079511008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/5079511008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-applied-ai-architect-startups-2ea0c72b", "title": "Applied AI Architect, Startups", "company": "Anthropic", "location": "London, UK", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role\nAs a Solutions Architect on the Startups Applied AI team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude.
\nWorking closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond. You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems.
\nResponsibilities:\nThe annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:£150,000—£170,000 GBPLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/4968059008", "postedAt": "2026-04-24", "tags": [ "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "4968059008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/4968059008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-applied-ai-architect-startups-4e0b292e", "title": "Applied AI Architect, Startups", "company": "Anthropic", "location": "San Francisco, CA | New York City, NY", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role\nAs an Applied AI Architect on the Startups team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude.
\nWorking closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond. You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems.
\nResponsibilities:\nThe annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:$240,000—$315,000 USDLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5057258008", "postedAt": "2026-04-23", "tags": [ "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "5057258008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/5057258008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-applied-ai-architect-state-and-local-government-20c86ae1", "title": "Applied AI Architect, State and Local Government", "company": "Anthropic", "location": "New York City, NY; Washington, DC", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role\nAs an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping state and local government agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability.
\nWorking closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
\nResponsibilities\nPartner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
\nServe as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
\nSupport customers building with Claude Code, the Claude API, and Claude for Enterprise
\nCreate and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
\nGuide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
\nHelp customers develop evaluation frameworks to measure Claude's performance for their specific use cases
\nIdentify common integration patterns and contribute insights back to our Product and Engineering teams
\nTravel frequently to customer sites for workshops, technical deep dives, and relationship building
\nMaintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
\nMust have prior experience working with US federal, state, and/or local agencies
\n5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
\nExperience navigating complex buying cycles involving multiple stakeholders
\nExceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
\nStrong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
\nExperience designing scalable cloud architectures and integrating with enterprise systems
\nFamiliar with Python
\nFamiliarity with common LLM frameworks and tools or a background in machine learning or data science
\nExcitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
\nA love of teaching, mentoring, and helping others succeed
\nExcellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
\nPassion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
\nThe annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:$240,000—$345,000 USDLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5140403008", "postedAt": "2026-04-24", "tags": [ "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "5140403008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/5140403008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-applied-ai-claude-evangelist-startups-038d08ef", "title": "Applied AI Claude Evangelist, Startups", "company": "Anthropic", "location": "San Francisco, CA", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:\nYou'll be the face of Anthropic in the startup ecosystem — driving awareness and activation among founders and their technical teams. Your focus is lighting up the startup developer community and getting builders excited about, onboarded onto, and actively building on top of the Claude Developer Platform.
\nThis role sits at the intersection of startup ecosystem development and hands-on technical activation. Your primary mandate is driving adoption across the startup funnel — turning ecosystem touchpoints into active, building developers on Anthropic's platform. You'll work closely with the Startups GTM team to convert ecosystem relationships — with VCs, accelerators, and founder communities — into active, building developers.
\n\nResponsibilities:\n
Drive Net New Logo Acquisition Through Developer Enablement
\nLead hands-on developer onboarding experiences at ecosystem events that convert startup founders and their engineers from first API interaction to committed platform adoption
\nBuild scalable enablement programs — hands-on workshops, build-a-thons, and technical office hours — that activate developers at VC and accelerator partner events
\nDevelop a playbook for turning ecosystem touchpoints (builder summits, founder days, VC partnerships) into measurable developer sign-ups and active usage
\nPartner closely with the Startups GTM team to create seamless handoffs from relationship → activation → retention
\n\n
Create Compelling Technical Content
\nCreate high-quality technical content — tutorials, demo apps, and blog posts — that showcase how to build real products on Anthropic's API, with a focus on common startup use cases
\nDevelop code demos and working prototypes that showcase Claude's capabilities in ways that resonate with technical founders, particularly at ecosystem events and webinars
\nPartner with the Product team to stay current on platform capabilities and ensure content reflects the latest developer tooling and best practices
\n\n
Lead Developer Programming at Startup Events
\nOwn developer-facing programming at Anthropic's builder summits and global startup activations
\nDesign and run hands-on technical sessions that move developers from curiosity to active building within a single event
\nBuild relationships with key technical communities — developer platforms, open-source contributors, and startup accelerator cohorts — to grow Anthropic's developer mindshare
\nRepresent Anthropic as a trusted technical resource in the startup ecosystem
\n\n
Partner Across GTM and Ecosystem
\nSurface market signal and developer sentiment from the startup ecosystem back to internal teams
\nPartner with GTM, Sales, and Marketing to create developer-focused activation campaigns and messaging for the startup ecosystem
\nWork with the Startups Partnerships team to ensure VC and accelerator relationships translate into real developer engagement and usage metrics
\nCollaborate closely with the Product team to stay aligned on platform strategy, content, and developer programs
\n\n
Define Success and Scale
\nDefine and track success metrics — tied to net new logos, developer activation, and ecosystem engagement — and build reporting that connects evangelist activity to business outcomes
\nCreate scalable processes and grow the team as the startup ecosystem expands
\n\nYou may be a good fit if you have:\n
7+ years of experience across a combination of founding/building startups and developer-facing roles (developer relations, evangelism, or ecosystem development)
\nExperience as a technical founder, early startup employee, or operator who has lived the 0-to-1 journey and knows what it takes to go from idea to product-market fit
\nThe ability to write production-quality code, build compelling demos, and credibly engage with technical co-founders and their engineering teams
\nStrong public speaking skills with comfort on stage, the ability to command a room at builder summits and ecosystem events, and deliver technical content that energizes an audience
\nExperience building or scaling developer programs, communities, or enablement motions that drove measurable adoption
\nBuilder credibility that earns trust with founders, VCs, and accelerator communities. You've shipped products and can speak from experience
\nWillingness to travel regularly and flexibility to support events that fall outside standard business hours, including evenings and weekends
\nDeep enthusiasm for AI with hands-on experience building with LLMs. You stay close to the technology and genuinely care about building it responsibly
\n
The annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:$240,000—$315,000 USDLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5116927008", "postedAt": "2026-05-22", "tags": [ "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "5116927008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/5116927008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-applied-ai-engineer-beneficial-deployments-041e699b", "title": "Applied AI Engineer, Beneficial Deployments", "company": "Anthropic", "location": "Bangalore, India", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About Beneficial Deployments\nBeneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor.
\nAbout the Role\nWe're looking for an Applied AI Engineer to join our Beneficial Deployments team. You’ll use your deep technical expertise to help partners accelerate their impact through advising on evals, hill-climbing on harnesses, prototyping new agents, etc. You will also work on building ecosystem-level tooling and infrastructure to scale impact beyond individual partnerships.
\nResponsibilities\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5146028008", "postedAt": "2026-04-21", "tags": [ "deployment", "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "5146028008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/5146028008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-applied-ai-engineer-beneficial-deployments-17f4f984", "title": "Applied AI Engineer, Beneficial Deployments", "company": "Anthropic", "location": "San Francisco, CA | New York City, NY", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About Beneficial Deployments\nBeneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor.
\nAbout the Role\nWe're looking for an Applied AI Engineer to join our Beneficial Deployments team. You’ll use your deep technical expertise to help partners accelerate their impact through advising on evals, hill-climbing on harnesses, prototyping new agents, etc. You will also work on building ecosystem-level tooling and infrastructure to scale impact beyond individual partnerships.
\nResponsibilities\nThe annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:$280,000—$300,000 USDLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5068226008", "postedAt": "2026-05-20", "tags": [ "deployment", "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "5068226008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/5068226008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-applied-ai-engineer-enterprise-tech-d951e46e", "title": "Applied AI Engineer, Enterprise Tech", "company": "Anthropic", "location": "San Francisco, CA | New York City, NY | Seattle, WA", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
\nAs a member of the Applied AI team at Anthropic, you will be a technical Product Engineer focused on becoming a trusted technical advisor to Digital Native Businesses - technology companies adopting the Claude API into their core products. You will work closely with customer product and engineering teams as they ship new products powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding customers through the most cutting-edge implementation patterns for LLMs.
\nWorking closely with our Sales, Product, and Engineering teams, you'll guide a focused portfolio of customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers unlock the full potential of Claude APIs and move their products closer to the frontier, while maintaining our high standards for safety and reliability.
\nResponsibilities:
\nYou may be a good fit if you have:
\nPlease note this role requires 3 days in office per week.
\nDeadline to apply: None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:$200,000—$320,000 USDLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5057647008", "postedAt": "2026-04-24", "tags": [ "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "5057647008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/5057647008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-applied-ai-engineer-life-sciences-beneficial-deployments-9ccfbec0", "title": "Applied AI Engineer, Life Sciences (Beneficial Deployments)", "company": "Anthropic", "location": "San Francisco, CA | New York City, NY", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About Beneficial Deployments:\nBeneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most.
\nAbout the Role:\nWe're looking for an Applied AI Engineer to join our Beneficial Deployments team, focused on maximizing the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&D through translation by an order of magnitude. That means making Claude the go-to tool for the life sciences ecosystem from early discovery in academia to paradigm shifting biotech to reimaging pharma pipelines — and building the technical infrastructure to back that up.
\nYou'll work directly with flagship research partners like Howard Hughes Medical Institute and The Allen Institute, embedded in their scientific workflows. This isn't consulting from the outside — you'll be building alongside their engineers, prototyping agents that fit into real research pipelines, and developing the ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills) that extends Claude's usefulness across the broader life sciences community. This role will be part of the founding Beneficial Deployments applied AI team focused on bringing more of life sciences closer to the frontier and be responsible for building with our partners.
\nResponsibilities:\nPartner deeply with flagship life sciences research institutions — understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day.
\nDevelop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch.
\nIdentify what's actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype-to-trust gap) and feed those findings back to product, engineering, and research.
\nCreate technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding.
\n4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder — with production experience shipping systems that real users depend on.
\nDeep research experience in life sciences, biomedical research, or scientific computing. Bonus if you've studied genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics.
\nExperience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks.
\nBuilder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder.
\nA scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission.
\nThe annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:$280,000—$320,000 USDLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5111942008", "postedAt": "2026-04-01", "tags": [ "deployment", "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "5111942008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/5111942008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-forward-deployed-engineer-applied-ai-4c1ee96d", "title": "Forward Deployed Engineer, Applied AI", "company": "Anthropic", "location": "Boston, MA; New York City, NY | Seattle, WA; San Francisco, CA | New York City, NY; Washington, DC", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:\nAs a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.
\nWorking closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.
\nYou will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.
\nResponsibilities:\nThe annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:$200,000—$300,000 USDLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/4985877008", "postedAt": "2026-05-15", "tags": [ "FDE", "deployment", "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "4985877008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/4985877008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-global-applied-ai-architecture-lead-beneficial-deployments-a75523f9", "title": "Global Applied AI Architecture Lead, Beneficial Deployments", "company": "Anthropic", "location": "San Francisco, CA | New York City, NY", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role\nAs the Global Leader of Applied AI Architects for Beneficial Deployments, you will lead the team of Applied AI Architects who serve as the primary technical partners to mission-driven organizations and non-profits adopting Claude. You'll build and scale a world-class, globally distributed team that turns frontier AI into real impact in education, global health, economic mobility, and life sciences—while shaping how Anthropic's most important societal partnerships are designed and delivered.
\nYou'll combine deep technical fluency with the leadership judgment needed to operate across segments, regions, and partner types—from global health foundations to leading research institutions to frontline nonprofits. You'll set the vision for how we scale our expertise from a handful of flagship partnerships to an ecosystem of organizations operating as AI-native, and you'll be accountable for the team, processes, and cross-functional relationships that make that possible.
\nIn collaboration with Beneficial Deployment’s Head of Nonprofits, Product, Engineering, Policy, and our broader GTM organization, you'll help ensure our partners incorporate Claude into their work responsibly, effectively, and in ways that meaningfully accelerate their missions. You'll represent Anthropic as a senior technical leader on some of our most visible and consequential partnerships, while maintaining our best-in-class safety standards.
\nResponsibilities\nLead, grow, and mentor a globally distributed team of Architects supporting mission-driven non-profits across education, global health, economic mobility, and life sciences
\nSet the vision, strategy, and operating model for how Applied AI shows up in Beneficial Deployments—from discovery through deployment, and from individual partnerships to ecosystem-wide infrastructure
\nEstablish hiring plans, team structure, and career development paths as we scale the team globally; set goals and reviews that promote growth, output, and a high bar for technical excellence
\nPartner closely with segment leads and senior partner leadership to understand requirements and shape engagements on our highest-impact partnerships
\nDrive the design of cohort-based accelerators, Claude Code enablement programs, and other scalable mechanisms that multiply our impact across many organizations simultaneously
\nIdentify patterns across partners and segments to inform what we build at the ecosystem level—MCPs, evals, reference implementations, and shared infrastructure
\nCollaborate with Product and Engineering to surface partner needs, influence roadmap, and ensure learnings from the field shape how Claude evolves
\nRepresent Anthropic externally with senior leaders at foundations, nonprofits, research institutions, and government-adjacent organizations
\nTravel to partner sites globally for workshops, technical deep dives, and relationship building
\nHelp shape team processes and culture as Beneficial Deployments scales, and contribute to the broader Applied AI leadership community at Anthropic
\nTravel is 30-40% due to the global nature of the team (SF, NYC, London and Bengaluru) and events across Beneficial Deployments.
\n10+ years of experience in technical, customer-facing roles (Solutions Architect, Forward Deployed Engineer, Customer Engineer, Sales Engineer, or similar), with meaningful exposure to complex, high-stakes deployments
\n7+ years of engineering or technical leadership experience, preferably building and scaling customer-facing or forward-deployed teams globally
\nExperience working with or inside mission-driven organizations—education, healthcare, scientific research, global development, or nonprofits—and a genuine understanding of the constraints, incentives, and operating realities of these sectors
\nFamiliarity with common LLM implementation patterns, including prompt engineering, evaluation frameworks, agent frameworks, and retrieval systems; working knowledge of Python
\nA track record of building teams in ambiguous, fast-moving environments, and comfort wearing multiple hats as the team scales
\nStrong executive presence and the ability to foster deep, trusted relationships with senior partner leadership
\nExcellent communication, collaboration, and coaching abilities, with a love of teaching and helping others succeed
\nThe ability to think holistically, identify core principles that translate across scenarios, and make ambiguous problems clear
\nA passion for making powerful technology safe and societally beneficial, and for thinking creatively about risks and benefits beyond existing playbooks
\nExperience leading globally distributed teams across time zones and regions
\nBackground in philanthropy, global health, education technology, or scientific research
\nExperience designing cohort-based or programmatic delivery models that scale technical expertise across many organizations
\nA working understanding of emerging research in agents, evaluations, and AI safety
\nBeneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor for the people and institutions working on humanity's hardest problems.
The annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:$315,000—$380,000 USDLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5192104008", "postedAt": "2026-04-24", "tags": [ "deployment", "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "5192104008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/5192104008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-head-of-anz-applied-ai-55cf706c", "title": "Head of ANZ, Applied AI", "company": "Anthropic", "location": "Sydney, Australia", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About Anthropic\nAnthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
\nAbout the role\nAs the founding leader of Applied AI Solutions Architecture in ANZ, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across Australian and New Zealand enterprises and digital-first organizations. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.
\nYou'll be responsible for building and leading the ANZ Applied AI team from the ground up. Applied AI comprises Solutions Architects, Product Engineers, and Finetuning Engineers. You will establish processes and best practices for the region's technical pre-sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships across Australia and New Zealand.
\nIn collaboration with the Sales, Product, and Engineering teams globally and locally, you'll help enterprise partners across ANZ incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.
\nResponsibilities\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5184077008", "postedAt": "2026-04-24", "tags": [ "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "5184077008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/5184077008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-head-of-international-applied-ai-architecture-partnerships-9a62f951", "title": "Head of International Applied AI Architecture, Partnerships", "company": "Anthropic", "location": "London, UK", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role\nAs the Manager of the International Partnerships, Applied AI, Solutions Architect team at Anthropic, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) through our Global and Regional System Integrators (GSIs/RSIs), cloud partners (AWS and GCP), and strategic technology partners across international markets. Based in London, you will lead and grow a team of Partner Solutions Architects, establishing Anthropic's technical partner ecosystem across EMEA and beyond.
\nYou'll be responsible for leading & growing the International Partnerships Applied AI team, establishing processes and best practices for partner-led pre-sales engagements, helping each team member achieve success, high productivity, and career growth, and representing Anthropic as a technical lead on some of its most important international partnerships.
\nIn collaboration with the Sales, Partnerships, Product, and Engineering teams, you'll help partners incorporate leading-edge AI systems into their practices, solutions, and customer engagements. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to accelerate indirect revenue, enable partner AI practices, and execute on long-term international GTM strategy, while maintaining our best-in-class safety standards.
\n\nResponsibilities\n
Team Leadership & Development: Manage and mentor a team of Applied AI, Partner Solutions Architects, providing both technical guidance and career development. Set goals and reviews for your team, promoting growth and output
\nStrategic Technical Partnership: Serve as the senior technical thought partner to the Anthropic international GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities across international markets
\nPartner Ecosystem Enablement: Embed your team with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues
\nJoint Solution Development: Lead your team in collaborating with partners to identify high-value industry-specific GenAI applications, develop joint solutions, and codify reference architectures / best practices to accelerate time to deployment across international markets
\nCustomer Deal Support: Own the technical portions of partner-led pre-sales engagements, ensuring your team intervenes directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance
\nPartner Ecosystem & Events: Represent Anthropic at international partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions
\nCross-Functional Collaboration: Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes. Partner closely with your aligned GTM leadership to co-build international partner strategies
\nProduct Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to international partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy
\nThought Leadership: Contribute to thought leadership through conference presentations, webinars, and technical content creation focused on the international partner ecosystem
\n\nYou may be a good fit if you\n
7+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager
\n5+ years of technical go-to-market management experience, specifically managing pre-sales or partner-facing technical teams across EMEA, APAC, and other international regions.
\nTrack record of successfully building and scaling partnerships with GSIs (e.g., Accenture, Deloitte, WPP, TCS, Infosys) and/or cloud providers (AWS, GCP) to solve complex technical challenges across international markets
\nExperience with the unique dynamics of partner-led selling and delivery, including indirect revenue models and partner enablement at scale
\nDeep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
\nExceptional ability to build relationships with and communicate technical concepts to diverse stakeholders including C-suite executives, engineering & IT teams, and partner leadership
\nHave an organizational mindset and enjoy building foundational teams in a relatively unstructured environment
\nHave excellent communication, collaboration, and coaching abilities
\nAre comfortable dealing with highly uncertain, ambiguous, and fast-moving environments
\nStrong executive presence and ability to foster deep relationships with technical leaders and partner engineering teams
\nHave at least a high-level familiarity with the architecture and operation of large language models and/or ML in general
\nExperience with prompt engineering, LLM evaluation, and architecting AI-powered systems
\nA love of teaching, mentoring, and helping others succeed
\nHave a passion for making powerful technology safe and societally beneficial
\nThink creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks
\n\nStrong candidates may have\n
Partner SA Leadership at Scale: 5+ years leading partner-facing solution architect teams through hypergrowth, with direct experience managing both senior SAs and developing junior talent in complex partner ecosystem environments
\nAI/ML Technical Depth + Executive Engagement: Hands-on experience with AI/ML platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders and partner leadership in large-scale technical evaluations and joint GTM motions
\nThe annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:£170,000—£215,000 GBPLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5146999008", "postedAt": "2026-04-24", "tags": [ "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "5146999008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/5146999008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-manager-of-applied-ai-architecture-enterprise-tech-cyber-8e185ee4", "title": "Manager of Applied AI Architecture, Enterprise Tech (Cyber)", "company": "Anthropic", "location": "New York City, NY; San Francisco, CA | New York City, NY; Seattle, WA", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
\nAbout the Role: \nAs the manager of the Applied AI Architect, Enterprise Tech (Cyber) team at Anthropic, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across Enterprise Tech companies and digital-first organizations. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.
\nYou'll be responsible for leading & growing the Applied AI Architect, Enterprise Tech (Cyber) team, establish processes and best practices for your segment's pre-sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships.
\nIn collaboration with the Sales, Product, and Engineering teams, you'll help enterprise tech partners incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.
\nResponsibilities: \nDeadline to apply: None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:$315,000—$380,000 USDLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5197538008", "postedAt": "2026-05-04", "tags": [ "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "5197538008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/5197538008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-manager-of-applied-ai-architecture-partnerships-45ba7e20", "title": "Manager of Applied AI Architecture, Partnerships", "company": "Anthropic", "location": "San Francisco, CA | New York City, NY | Seattle, WA", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role\nAs the Manager of the Partnerships Applied AI Solutions Architect team, you will drive adoption of frontier AI by enabling deployment of Anthropic’s products (Claude for Enterprise, Claude Code, API) through our Global and Regional System Integrators, cloud partners (AWS, GCP, Azure), and strategic technology partners.
\nYou will build and lead a team of Partner Solutions Architects, establish processes and best practices for partner-led pre-sales engagements, and represent Anthropic as the technical lead on its most important partnerships. In collaboration with Sales, Partnerships, Product, and Engineering, you will help partners incorporate leading-edge AI into their practices, accelerate indirect revenue, and execute long-term GTM strategy while maintaining our best-in-class safety standards.
\nResponsibilities\nThe annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:$315,000—$380,000 USDLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5173031008", "postedAt": "2026-04-24", "tags": [ "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "5173031008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/5173031008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-manager-of-applied-ai-architecture-startups-171743e6", "title": "Manager of Applied AI Architecture, Startups", "company": "Anthropic", "location": "San Francisco, CA", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role: \nAs a Manager of Startups Applied AI Architects at Anthropic, you will drive adoption of frontier AI by leading a team of technical architects to help startups build AI-native products with the Claude Developer Platform. Your team is expected to win the trust of founders and engineers by supporting their technical ambitions from early product to scale. You'll bring your own builder credibility and startup instincts to the role — setting the vision for what great technical partnership looks like in the startup segment, developing a high-performing team, and personally carrying relationships with Anthropic's most strategic early-stage accounts.
\nThis is a role for a proven technical go-to-market leader who knows how to build teams that move at startup speed, earn the trust of deeply technical buyers, and turn a scrappy early engagement into a lasting technical partnership. You'll define the playbooks for nurturing and scaling new customers, set the bar for technical excellence, and grow the people — while staying close enough to the ground to know what's actually working. You will partner with the New Business sales leader and work as one team to support your customers.
\n\nResponsibilities: \n
Lead, develop, and grow a team of Startups Applied AI Architects — setting a high bar for technical credibility, customer impact, and startup-paced execution
\nDrive team performance through clear goal-setting, regular coaching, and a culture of continuous technical development
\nPersonally lead pre-sales engagements with high-priority startup accounts, from initial technical discovery through deployment and expansion, modeling what great looks like for your team
\nBuild and own the segment's technical playbooks: how to run technical evaluations, develop customer-specific eval frameworks, architect LLM solutions for resource-constrained early-stage teams, and win against competitive alternatives
\nPartner with aligned Account Executives and GTM leadership to shape segment strategy and drive Claude API adoption across the startup ecosystem
\nEnsure your team consistently surfaces insights on how startups are building with Claude — emerging use cases, deployment patterns, architectural decisions — and translate that signal into actionable feedback for Product and Engineering
\nDrive cross-functional influence across Sales, Product, and Engineering to advance startup customer needs and shape roadmap priorities
\nBuild Anthropic's technical presence and credibility in the startup ecosystem through events, conferences, workshops, and content
\nStay ahead of the AI engineering landscape — context engineering, eval frameworks, agentic architectures, developer tooling — and ensure your team is operating at the frontier
\n\nYou may be a good fit if you:\n
Have 8+ years of experience in technical customer-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, or similar), with 5+ years leading and managing pre-sales or technical go-to-market teams
\nHave a strong track record of building and developing high-performing SA teams — you know how to hire well, coach effectively, and create an environment where technical talent grows and does their best work
\nHave deep experience working with startups or high-growth technology companies — you understand the velocity, constraints, and culture of early-stage companies and know how technical decisions get made at each stage of the journey
\nBring genuine builder credibility: you've built and deployed LLM-powered applications, you speak the language of founders and founding engineers, and you can earn the trust of deeply technical audiences without relying on a title
\nHave hands-on expertise with context engineering, LLM evaluation frameworks, and modern AI architectures, and can guide both your team and customers through the decisions that separate a prototype from a production-grade system
\nAre comfortable with Python and fluent in the LLM frameworks, tools, and integration patterns common in startup engineering stacks
\nAre energized by building in ambiguous environments — you're excited to define the playbook, not just run it, and you thrive in fast-moving contexts where the technology and the customer segment are both evolving rapidly
\nHave a genuine passion for making powerful technology safe and societally beneficial
\n\nStrong candidates may have:\n
Experience as a technical founder or in a founder-led sales motion, giving you firsthand understanding of what technical buyers in the startup world are actually evaluating
\nA track record of winning competitive technical evaluations against other LLM providers
\nExperience building foundational team infrastructure from the ground up: hiring frameworks, onboarding programs, technical playbooks, and coaching systems in a high-growth environment
\nDeep familiarity with how developer infrastructure procurement evolves from seed through Series B and beyond, and how to adapt your team's approach accordingly
\nA visible technical presence in the startup or AI engineering community through conference talks, written content, or open-source contributions
\nThe annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:$315,000—$380,000 USDLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5230755008", "postedAt": "2026-05-26", "tags": [ "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "5230755008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/5230755008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-manager-of-solutions-architecture-applied-ai-enterprise-tech-4382e3c9", "title": "Manager of Solutions Architecture, Applied AI (Enterprise Tech)", "company": "Anthropic", "location": "San Francisco, CA | New York City, NY", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role: \nAs the manager of the Industries Solutions Architect team within Applied AI Enterprise Tech at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go to market organization. Our Enterprise Tech customers include tech forward companies within verticals like fintech and cyber security. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.
\nYou will be responsible for leading and growing the pre-sales team that partners with account executives to help those companies understand and deploy Anthropic’s products, including Claude for Enterprise, Claude Code, and the API. This will include leveraging your technical skills and consultative sales experience to hire great people, establish processes for the team to scale, and represent Anthropic directly at strategic customer engagements.
\nResponsibilities: \nHire, manage, and guide a team of pre-sales Solutions Architects by providing both technical guidance and career development.
\nSet goals for your team in collaboration with sales and other parts of the organization that establish baseline expectations for performance.
\nAct as a technical sponsor for high-value strategic customers and advise them on their overall AI adoption strategies or use case scoping and POC execution.
\nPartner closely with Industries sales leadership to identify new strategies to drive adoption of Anthropic products within specific verticals or horizontal use cases.
\nWork with cross-functional teams like product and engineering to ensure Anthropic prioritizes customer feedback or resolves blockers to adoption.
\nTravel to customer sites or conferences for executive-level sessions, technical workshops, and relationship building.
\nEstablish a shared vision for creating solutions that enable beneficial and safe AI in technology products.
\nContribute to thought leadership through conference presentations, webinars, and technical content creation.
\nStay current with emerging AI/ML trends and the competitive landscape.
\n7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role.
\n3+ years of technical pre-sales management experience.
\nHave deep technical proficiency with enterprise AI use cases, API integrations, and LLM deployments.
\nThrive in building and rapidly scaling teams and processes within ambiguous and fast-moving environments.
\nHave excellent communication, collaboration, and coaching abilities.
\nStrong executive presence and ability to foster deep relationships with technical leaders and engineering teams at Fortune 500 companies.
\nHave at least a high level familiarity with the architecture and operation of LLMs.
\nHave a passion for making powerful technology safe and societally beneficial.
\nStay up-to-date and informed by taking an active interest in emerging research and industry trends within AI.
\nEnterprise pre-sales leadership at scale: 5+ years leading solution architect teams through hypergrowth (ideally 10 to 50+ people), with direct experience managing senior individual contributors and developing junior talent in complex enterprise software sales environments.
\nAI Technical Depth + Executive Engagement: Hands-on experience with AI platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders in $10M+ technical evaluations and enterprise sales cycles.
\nMulti-Segment GTM Experience: Demonstrated success adapting technical approaches across customer segments (commercial to Fortune 100).
\nThe annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:$315,000—$380,000 USDLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5222289008", "postedAt": "2026-05-18", "tags": [ "solutions-architect", "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "5222289008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/5222289008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-partner-solutions-architect-applied-ai-65c90423", "title": "Partner Solutions Architect, Applied AI", "company": "Anthropic", "location": "Tokyo, Japan", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role\nAs a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.
\nResponsibilities:\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5222908008", "postedAt": "2026-05-27", "tags": [ "solutions-architect", "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "5222908008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/5222908008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-partner-solutions-architect-applied-ai-08acf55f", "title": "Partner Solutions Architect, Applied AI", "company": "Anthropic", "location": "San Francisco, CA | New York City, NY | Seattle, WA", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role\nAs a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.
\nResponsibilities:\nThe annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:$240,000—$380,000 USDLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/4950664008", "postedAt": "2026-04-30", "tags": [ "solutions-architect", "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "4950664008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/4950664008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-solutions-architect-applied-ai-29d09b6a", "title": "Solutions Architect, Applied AI ", "company": "Anthropic", "location": "Bangalore, India", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Location - Mumbai \n \nAbout the role\nAs an Applied AI team member at Anthropic India, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises across India and the Asia-Pacific region understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
\nWorking closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
\nResponsibilities:\nPartner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
\nServe as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
\nSupport customers building with both the Claude API and Claude for Work
\nCreate and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
\nGuide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
\nHelp customers develop evaluation frameworks to measure Claude's performance for their specific use cases
\nIdentify common integration patterns and contribute insights back to our Product and Engineering teams
\nTravel occasionally within India and the APAC region to customer sites for workshops, technical deep dives, and relationship building
\nMaintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
\nCollaborate across time zones with global teams while serving as the technical expert for the India market
\n10+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
\nExperience working with enterprise customers in India or the APAC region, navigating complex buying cycles involving multiple stakeholders
\nExceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
\nStrong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
\nExperience designing scalable cloud architectures and integrating with enterprise systems
\nComfortable with Python
\nFamiliarity with common LLM frameworks and tools or a background in machine learning or data science
\nExcitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
\nA love of teaching, mentoring, and helping others succeed
\nExcellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
\nPassion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
\nAbility to work effectively across cultures and time zones as part of a global team
\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5117581008", "postedAt": "2026-05-18", "tags": [ "solutions-architect", "applied-AI", "anthropic", "AI", "onsite" ], "rawSourceId": "5117581008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/5117581008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "anthropic-solutions-architect-national-security-50234b06", "title": "Solutions Architect, National Security", "company": "Anthropic", "location": "Washington, DC", "descriptionHtml": "About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role\nAs a member of the National Security Policy team at Anthropic, you will work directly with our most strategic national security customers and partners to drive transformational AI adoption. You will leverage your technical skills to architect innovative solutions that address our customers' business needs, meet their technical requirements, and provide a high degree of reliability and safety.
\nIn collaboration with the Sales, Product, Research, and Engineering teams, you’ll help national security partners develop strategies and implementation plans to integrate leading-edge AI systems into their mission. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You also will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards. We expect our team members to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments.
\nCore Responsibilities:\nAct as a primary technical advisor for senior government leaders and prospective National Security customers evaluating Claude. Demonstrate how Claude can support U.S. and democratic allies’ national security operations and address customer use cases through proofs of concept. Provide technical guidance on integration, deployment, and adoption best practices.
\nPartner closely with the policy team and sales account executives to understand customer requirements. Develop customized pilots and prototypes, as well as evaluation suites to make the case for customer adoption.
\nDrive technical decision making by partnering on optimal setup, architecture, and integration of Claude into the customer's existing infrastructure. Demonstrate solutions to technical roadblocks.
\nAct as the voice of our customers and a key collaborator with our Product and Research teams to ensure we are delivering critical capabilities to the National Security community.
\nTravel to customer sites for senior leader meetings, AI implementation, technical enablement, and building relationships.
\nEstablish a shared vision for creating solutions that enable beneficial and safe AI
\nLead the vision, strategy, and execution of innovative solutions that leverage our latest models’ capabilities.
\nActive TS/SCI security clearance (required)
\n2+ years of experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Platform Engineer within the National Security space
\nExceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include senior executives, engineering & IT teams, and more
\nExperience in the defense, technology, or cybersecurity industries
\nExperience designing novel and innovative solutions for technical platforms in a developing mission area
\nStrong technical aptitude to partner with engineers and strong proficiency in at least one programming language (Python preferred)
\nUnderstanding of and experience with LLM fundamentals
\nThe ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions
\nExcitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
\nA love of teaching, mentoring, and helping others succeed
\nExcellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
\nPassion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
\nThe annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:$270,000—$345,000 USDLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
", "source": "greenhouse", "sourceCompany": "anthropic", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5126080008", "postedAt": "2026-04-01", "tags": [ "solutions-architect", "anthropic", "AI", "onsite" ], "rawSourceId": "5126080008", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/anthropic/jobs/5126080008", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "scale-ai-ai-deployment-strategist-enterprise-c4bf5851", "title": "AI Deployment Strategist, Enterprise", "company": "Scale AI", "location": "San Francisco, CA; New York, NY", "descriptionHtml": "Scale's Enterprise Applications business is growing faster than ever in the quest to develop reliable AI systems for the world's most important decisions. As an AI Deployment Strategist you will be right at the center of it, helping our largest customers build, launch, and scale groundbreaking GenAI solutions that redefine their industries. You will take full ownership of our deployment success, turning bold ideas into real impact and ensuring every engagement delivers exceptional results.
\nIn this role, you will work directly with data, engineering, business and AI leaders at some of the world's top Enterprises. You will guide projects from the first conversation through delivery, expansion, and measurable business outcomes. Within Scale, you will collaborate closely with Machine Learning, Engineering, Product, and Finance teams to streamline execution, improve processes, and shape our approach to enterprise delivery.
\nThis is a fast-moving, high-impact role that blends customer strategy, operations, product strategy and execution. You will lead the team that serves as the voice of the customer and ensure their flawless execution of customer projects.
\nYou will own:
\n\n
Ideally, you'd have:
\nNice to have:
\nCompensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$192,800—$241,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
\nAbout Us:
\nAt Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
\nWe believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
\nWe are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
\nWe comply with the United States Department of Labor's Pay Transparency provision.
\nPLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
", "source": "greenhouse", "sourceCompany": "scaleai", "applyUrl": "https://job-boards.greenhouse.io/scaleai/jobs/4699458005", "postedAt": "2026-05-26", "tags": [ "deployment", "scale-ai", "AI-data", "onsite" ], "rawSourceId": "4699458005", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/scaleai/jobs/4699458005", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "scale-ai-applied-ai-engineer-enterprise-07ef88a2", "title": "Applied AI Engineer, Enterprise", "company": "Scale AI", "location": "London, UK", "descriptionHtml": "AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP).
\nThe SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you’ll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you’ll use to improve your product’s performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!
\nYou will:\nIdeally you'd have:
\nNice to haves:
\nPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
\nAbout Us:
\nAt Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
\nWe believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
\nWe are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
\nWe comply with the United States Department of Labor's Pay Transparency provision.
\nPLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
", "source": "greenhouse", "sourceCompany": "scaleai", "applyUrl": "https://job-boards.greenhouse.io/scaleai/jobs/4536659005", "postedAt": "2026-05-29", "tags": [ "applied-AI", "scale-ai", "AI-data", "onsite" ], "rawSourceId": "4536659005", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/scaleai/jobs/4536659005", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "scale-ai-applied-ai-engineer-global-public-sector-791dc967", "title": "Applied AI Engineer, Global Public Sector", "company": "Scale AI", "location": "Doha, Qatar; London, UK", "descriptionHtml": "Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
\nWe are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach.
\nAt Scale, we’re not just building AI solutions—we are building repeatable blocks to enable the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a member of our rapidly expanding team, we’d love to hear from you.
\nYou will:
\nIdeally you’d have:
\nNice to haves:
\nPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
\nAbout Us:
\nAt Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
\nWe believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
\nWe are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
\nWe comply with the United States Department of Labor's Pay Transparency provision.
\nPLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
", "source": "greenhouse", "sourceCompany": "scaleai", "applyUrl": "https://job-boards.greenhouse.io/scaleai/jobs/4413992005", "postedAt": "2026-05-26", "tags": [ "applied-AI", "scale-ai", "AI-data", "onsite" ], "rawSourceId": "4413992005", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/scaleai/jobs/4413992005", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "scale-ai-director-forward-deployed-engineering-d3a6c922", "title": "Director, Forward Deployed Engineering", "company": "Scale AI", "location": "London, UK", "descriptionHtml": "Director, Forward Deployed Engineering\nAt Scale AI, we're not just building AI tools—we're pioneering the next era of enterprise AI. The world's largest enterprises are racing to deploy Generative AI into the core of their operations, and Scale is the partner that gets them there. Our Forward Deployed Engineering team sits at the intersection of customer delivery and core platform development, embedding alongside customers to turn research breakthroughs into production systems that drive measurable business outcomes.
\nWe're hiring a Director of Forward Deployed Engineering to oversee delivery for our largest and most strategic accounts. You'll lead a team of elite engineers who embed directly with Fortune 500 customers to ship deeply integrated AI agents—owning everything from agent design and evaluation to the backend services, data systems, and cloud infrastructure that make them production-ready. You'll partner closely with our Forward Deployed and Product teams to make sure we're shipping as efficiently as possible, turning hard-won field lessons into reusable platform capabilities that compound our velocity over time.
\nThis is a high-autonomy, founder-mindset role. You'll own outcomes end-to-end, scale a team that can operate under pressure, and shape how AI adoption actually happens inside the world's biggest enterprises. Your success will be measured by how consistently your team ships, how durably those deployments stick, and how clearly the signal from the field sharpens our product roadmap.
\nYou Will\nExceptional communication. You can translate technical tradeoffs into decisions for executive and non-technical audiences, and model the customer empathy you expect from your team.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
\nAbout Us:
\nAt Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
\nWe believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
\nWe are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
\nWe comply with the United States Department of Labor's Pay Transparency provision.
\nPLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
", "source": "greenhouse", "sourceCompany": "scaleai", "applyUrl": "https://job-boards.greenhouse.io/scaleai/jobs/4690504005", "postedAt": "2026-05-26", "tags": [ "FDE", "deployment", "scale-ai", "AI-data", "onsite" ], "rawSourceId": "4690504005", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/scaleai/jobs/4690504005", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "scale-ai-director-of-product-management-forward-deployed-strategy-4e7d0252", "title": "Director of Product Management, Forward Deployed & Strategy", "company": "Scale AI", "location": "New York, NY", "descriptionHtml": "Role Summary
\nLead a high-stakes team of Product Managers responsible for successful delivery and integration of Scale products into complex customer environments. Own the feedback loop that converts bespoke field wins into scalable, repeatable product strategy, partnering deeply with Sales/GTM and EPD (Eng/Product/Design).
\nCore Responsibilities
\nIdeal Background
\nPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
\nAbout Us:
\nAt Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
\nWe believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
\nWe are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
\nWe comply with the United States Department of Labor's Pay Transparency provision.
\nPLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
", "source": "greenhouse", "sourceCompany": "scaleai", "applyUrl": "https://job-boards.greenhouse.io/scaleai/jobs/4669229005", "postedAt": "2026-05-26", "tags": [ "FDE", "deployment", "scale-ai", "AI-data", "onsite" ], "rawSourceId": "4669229005", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/scaleai/jobs/4669229005", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "scale-ai-forward-deployed-engineer-genai-ff7d6f94", "title": "Forward Deployed Engineer, GenAI ", "company": "Scale AI", "location": "San Francisco, CA; New York, NY", "descriptionHtml": "About Scale AI
\nAt Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI) and building upon our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for public and private evaluations.
\nAbout Data Engine
\nOur Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we produce is some of the most critical work for how humanity will interact with AI.
\nAbout Our FDE Team
\nGenerating high-quality data is the core problem our business solves. We aim to make producing and delivering high-quality data seamless and efficient for operators and customers. Our Team is building customer and operator-specific infrastructure to provide high-quality data with low turnaround time. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with the leading model-building organizations in the space, including the top AI research labs and government agencies.
\nJoin us in shaping the future of Artificial General Intelligence. As a Forward Deployed Engineer, you'll be at the forefront of providing the critical data infrastructure that powers the most advanced AI models, directly influencing how humanity interacts with AI. You will work with the world’s leading AI companies and government agencies to solve their most complex AI data-related problems.
\nResponsibilities:
\nRequirements:
\nPreferred Qualifications:
\nCompensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$179,400—$224,250 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
\nAbout Us:
\nAt Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
\nWe believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
\nWe are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
\nWe comply with the United States Department of Labor's Pay Transparency provision.
\nPLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
", "source": "greenhouse", "sourceCompany": "scaleai", "applyUrl": "https://job-boards.greenhouse.io/scaleai/jobs/4593571005", "postedAt": "2026-05-26", "tags": [ "FDE", "deployment", "scale-ai", "AI-data", "onsite" ], "rawSourceId": "4593571005", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/scaleai/jobs/4593571005", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "scale-ai-forward-deployed-product-manager-enterprise-34693948", "title": "Forward Deployed Product Manager, Enterprise", "company": "Scale AI", "location": "New York, NY", "descriptionHtml": "Role Summary\nScale is accelerating the development of AI across the world's most important organizations. The Forward Deployed PM is the person who makes enterprise deployments succeed from the product side — embedded with customers, shaping real production outcomes, and translating messy operational reality into high-signal input for the core platform.
\nThis is not a roadmap PM, a CSM, or a solutions engineer. The FDPM owns product outcomes inside a portfolio of enterprise accounts: earning deep trust with senior customer stakeholders, driving deployments to production, identifying where the product is the bottleneck vs. execution, and feeding durable, specific signal back to the platform team. The best FDPMs have shipped products into large organizations and can tell the difference between a customer's stated request, their actual problem, and what the platform should do.
\nWhat You'll Do\nCompensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$205,600—$300,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
\nAbout Us:
\nAt Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
\nWe believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
\nWe are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
\nWe comply with the United States Department of Labor's Pay Transparency provision.
\nPLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
", "source": "greenhouse", "sourceCompany": "scaleai", "applyUrl": "https://job-boards.greenhouse.io/scaleai/jobs/4673051005", "postedAt": "2026-05-26", "tags": [ "FDE", "deployment", "scale-ai", "AI-data", "onsite" ], "rawSourceId": "4673051005", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/scaleai/jobs/4673051005", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "scale-ai-machine-learning-research-engineer-genai-applied-ml-c46d4370", "title": "Machine Learning Research Engineer, GenAI Applied ML", "company": "Scale AI", "location": "San Francisco, CA; New York, NY", "descriptionHtml": "About This Role\nLead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviors, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes.
\nIdeal for exceptional engineers with deep research rigor and a relentless focus on practical, high-impact systems. You will iterate rapidly with data, leverage AI tools to accelerate development, and collaborate tightly across engineering, product, and research.
\nIf you excel at turning frontier agent research into reliable deployed systems, we want to hear from you.
\nYou will:
\nIdeally You’ll Have:
\nNice to Have:
\nCompensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$189,600—$237,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
\nAbout Us:
\nAt Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
\nWe believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
\nWe are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
\nWe comply with the United States Department of Labor's Pay Transparency provision.
\nPLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
", "source": "greenhouse", "sourceCompany": "scaleai", "applyUrl": "https://job-boards.greenhouse.io/scaleai/jobs/4490301005", "postedAt": "2026-05-26", "tags": [ "applied-ML", "scale-ai", "AI-data", "onsite" ], "rawSourceId": "4490301005", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/scaleai/jobs/4490301005", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "scale-ai-senior-forward-deployed-data-scientist-engineer-113bc0bf", "title": "Senior Forward Deployed Data Scientist/Engineer", "company": "Scale AI", "location": "San Francisco, CA; New York, NY", "descriptionHtml": "At Scale AI, we help leading enterprises turn AI from a promising capability into reliable systems that improve real workflows and deliver measurable business value. We are hiring a Senior Forward Deployed Data Scientist / Engineer to work directly with customers on ambiguous, high-impact problems at the intersection of data science, product development, and AI deployment.
\nThis is not a traditional analytics role. On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, operator workflows, decision-support systems, experimentation surfaces, and customer-specific AI/data applications that get used in production. In many cases, the data scientist builds the first usable version of the solution, proves value quickly, and helps drive it into a durable product or platform capability.
\nThe right candidate is strong in first-principles problem solving, rigorous measurement, and technical execution. They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions.
\nWhat you’ll do\nSuccess in this role means taking a messy, high-stakes customer problem and turning it into a deployed system that is actually used. Sometimes that system is a model. Sometimes it is an evaluation framework. Sometimes it is an operator-facing tool or a lightweight data product that changes how decisions get made. In all cases, success is defined by measurable impact, rigorous evaluation, and reliable execution.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$167,200—$209,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
\nAbout Us:
\nAt Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
\nWe believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
\nWe are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
\nWe comply with the United States Department of Labor's Pay Transparency provision.
\nPLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
", "source": "greenhouse", "sourceCompany": "scaleai", "applyUrl": "https://job-boards.greenhouse.io/scaleai/jobs/4636227005", "postedAt": "2026-05-26", "tags": [ "FDE", "deployment", "scale-ai", "AI-data", "onsite" ], "rawSourceId": "4636227005", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/scaleai/jobs/4636227005", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "scale-ai-senior-full-stack-software-engineer-forward-deployed-gps-cf7177f9", "title": "Senior Full-Stack Software Engineer, (Forward Deployed), GPS", "company": "Scale AI", "location": "London, UK", "descriptionHtml": "Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
\nAs a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.
\nAt Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.
\nYou will:\nPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
\nAbout Us:
\nAt Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
\nWe believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
\nWe are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
\nWe comply with the United States Department of Labor's Pay Transparency provision.
\nPLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
", "source": "greenhouse", "sourceCompany": "scaleai", "applyUrl": "https://job-boards.greenhouse.io/scaleai/jobs/4673310005", "postedAt": "2026-05-08", "tags": [ "FDE", "deployment", "scale-ai", "AI-data", "onsite" ], "rawSourceId": "4673310005", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/scaleai/jobs/4673310005", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "scale-ai-staff-full-stack-software-engineer-forward-deployed-gps-399fceeb", "title": "Staff Full-Stack Software Engineer, (Forward Deployed), GPS", "company": "Scale AI", "location": "London, UK", "descriptionHtml": "Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
\nAs a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.
\nAt Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.
\nYou will:\nPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
\nAbout Us:
\nAt Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
\nWe believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
\nWe are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
\nWe comply with the United States Department of Labor's Pay Transparency provision.
\nPLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
", "source": "greenhouse", "sourceCompany": "scaleai", "applyUrl": "https://job-boards.greenhouse.io/scaleai/jobs/4676610005", "postedAt": "2026-05-08", "tags": [ "FDE", "deployment", "scale-ai", "AI-data", "onsite" ], "rawSourceId": "4676610005", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/scaleai/jobs/4676610005", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "scale-ai-staff-fullstack-software-engineer-forward-deployed-gps-dc58f1fe", "title": "Staff FullStack Software Engineer, (Forward Deployed), GPS", "company": "Scale AI", "location": "Doha, Qatar", "descriptionHtml": "Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
\nAs a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.
\nAt Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.
\nYou will:\nPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
\nAbout Us:
\nAt Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
\nWe believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
\nWe are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
\nWe comply with the United States Department of Labor's Pay Transparency provision.
\nPLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
", "source": "greenhouse", "sourceCompany": "scaleai", "applyUrl": "https://job-boards.greenhouse.io/scaleai/jobs/4673314005", "postedAt": "2026-05-08", "tags": [ "FDE", "deployment", "scale-ai", "AI-data", "onsite" ], "rawSourceId": "4673314005", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/scaleai/jobs/4673314005", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "snorkel-ai-applied-ai-engineer-ai-solutions-b6ab5d7e", "title": "Applied AI Engineer - AI Solutions", "company": "Snorkel AI", "location": "New York City, NY (Hybrid); Redwood City, CA (Hybrid); San Francisco, CA (Hybrid)", "descriptionHtml": "About Snorkel
\nAt Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
\nWe’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
The Role\nAs an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions to solve them. You will also help define Snorkel’s Applied AI tooling by translating repeatable real-world challenges into reusable solution recipes, workflows, best practices, and platform-level capabilities that become part of Snorkel’s next generation of AI tooling. We move fast and are constantly prototyping and innovating new ways to deliver value to our customers. This position is ideal for someone who enjoys solving complex problems, bridging the gap between AI technology and business value, working directly with customers, keeping up-to date with AI research, and standardizing bespoke solutions into internal recipes and staying naturally curious about the infrastructure that underpin the Applied AI stack end-to-end.
\nMain Responsibilities\nCompensation range for Tier 1 locations of San Francisco Bay Area $172K - $300K OTE. All offers also include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
\nLocations\nRedwood City, CA - Hybrid; San Francisco, CA - Hybrid - US; New York, NY - Hybrid
#LI-CG1
Be Your Best at Snorkel
\nJoining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
\nSnorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
\nWe will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
", "source": "greenhouse", "sourceCompany": "snorkelai", "applyUrl": "https://job-boards.greenhouse.io/snorkelai/jobs/5709067004", "postedAt": "2026-05-20", "tags": [ "applied-AI", "hybrid" ], "rawSourceId": "5709067004", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/snorkelai/jobs/5709067004", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "snorkel-ai-applied-ai-engineer-federal-ts-required-a4c234d7", "title": "Applied AI Engineer - Federal (TS Required)", "company": "Snorkel AI", "location": "United States (Remote); Washington, D.C. (Remote)", "descriptionHtml": "About Snorkel
\nAt Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
\nWe’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions to solve them. You will also help define Snorkel’s Applied AI tooling by translating repeatable real-world challenges into reusable solution recipes, workflows, best practices, and platform-level capabilities that become part of Snorkel’s next generation of AI tooling. We move fast and are constantly prototyping and innovating new ways to deliver value to our customers. This position is ideal for someone who enjoys solving complex problems, bridging the gap between AI technology and business value, working directly with customers, keeping up-to date with AI research, and standardizing bespoke solutions into internal recipes and staying naturally curious about the infrastructure that underpin the Applied AI stack end-to-end.
\nMain Responsibilities\nCompensation range $170K - $300K OTE. All offers also include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
\nLocations\n#LI-CG1
Salary Range $170,000—$300,000 USDBe Your Best at Snorkel
\nJoining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
\nSnorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
\nWe will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
", "source": "greenhouse", "sourceCompany": "snorkelai", "applyUrl": "https://job-boards.greenhouse.io/snorkelai/jobs/5721276004", "postedAt": "2026-05-20", "tags": [ "applied-AI", "remote" ], "rawSourceId": "5721276004", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/snorkelai/jobs/5721276004", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "snorkel-ai-forward-deployed-engineer-data-as-a-service-fd8a24b3", "title": "Forward Deployed Engineer - Data as a Service", "company": "Snorkel AI", "location": "New York City, NY (Hybrid); Redwood City, CA (Hybrid); San Francisco, CA (Hybrid)", "descriptionHtml": "About Snorkel
\nAt Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
\nWe’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
About the Role\nSnorkel AI is hiring engineers who will work directly on Snorkel projects, partnering with leading labs and enterprises to design, develop, and deliver high quality AI/ML data products for their most critical AI initiatives. This is a high-impact role focused on end-to-end ownership of the AI data pipeline lifecycle. This includes developing and deploying ML-based workflows, and building the technical foundations that make our human-in-the-loop (HITL) data generation and review faster and more effective.
\nYou’ll work at the critical intersection of data science, data engineering, AI engineering and operations, partnering closely with our DaaS Delivery Operations team and cross-functional stakeholders. You’ll develop technical specifications, design evaluation workflows, implement quality standards, measurement frameworks, and ML-assisted applications which improve our data pipelines and unblock projects through technical innovation.
\nThis role is ideal for someone who is comfortable working throughout the delivery lifecycle, rolling up their sleeves to solve complex multi-faceted problems, thrives as a technical communicator and works well as a key member of a team.
\nMain Responsibilities\nProject Execution & Delivery\nCompensation range for Tier 1 locations of San Francisco Bay Area and New York City, $172K - $300K OTE. All offers also include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
\nWhy Join Snorkel AI?\nAt Snorkel AI, we're building the future of data-centric AI. Our Expert Data-as-a-Service organization partners with world-class customers to solve some of the hardest data challenges — creating training and evaluation data that power the next generation of LLMs and AI systems. You'll work directly on projects that impact real production systems, while shaping how internal teams deliver faster, better, and more intelligently. This is a rare opportunity to own technical data workflows and be a founding member of the technical DaaS team.
\n#LI-CG1
Salary Range $172,000—$300,000 USDBe Your Best at Snorkel
\nJoining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
\nSnorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
\nWe will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
", "source": "greenhouse", "sourceCompany": "snorkelai", "applyUrl": "https://job-boards.greenhouse.io/snorkelai/jobs/5689470004", "postedAt": "2026-05-11", "tags": [ "FDE", "deployment", "hybrid" ], "rawSourceId": "5689470004", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/snorkelai/jobs/5689470004", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "snorkel-ai-forward-deployed-researcher-data-as-a-service-b60b6c4d", "title": "Forward Deployed Researcher - Data as a Service ", "company": "Snorkel AI", "location": "New York City, NY (Hybrid); Redwood City, CA (Hybrid); San Francisco, CA (Hybrid); United States (Remote)", "descriptionHtml": "About Snorkel
\nAt Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
\nWe’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
About the Role\nSnorkel AI is hiring Forward Deployed Researchers who will partner with frontier AI labs on their most challenging data problems. This is a high-impact, customer-facing role that combines deep technical and research credibility with strong presales instincts. You'll partner with customer research teams to design complex data and environments that improve frontier model performance, serving as a thought partner throughout the engagement.
\nYou'll work at the critical intersection of research, technical strategy, and customer partnership. This includes scoping training data needs, designing RL environments and tasks, developing evaluation frameworks, probing model behavior and failure modes, and translating customer research objectives into actionable technical plans.
\nMain Responsibilities\nThe salary range is $180,000 - $300,000 USD.
\nBe Your Best at Snorkel\nJoining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly, offering a unique combination of stability and the excitement of high growth. As a member of our team, you'll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you're looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you're fully supported in building your career in an environment designed for growth, learning, and shared success.
\nSnorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
\nWe will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
\nBe Your Best at Snorkel
\nJoining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
\nSnorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
\nWe will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
", "source": "greenhouse", "sourceCompany": "snorkelai", "applyUrl": "https://job-boards.greenhouse.io/snorkelai/jobs/5811245004", "postedAt": "2026-05-11", "tags": [ "FDE", "deployment", "remote" ], "rawSourceId": "5811245004", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/snorkelai/jobs/5811245004", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "snorkel-ai-head-of-forward-deployed-engineering-fe2b0d2c", "title": "Head of Forward Deployed Engineering", "company": "Snorkel AI", "location": "New York City, NY (Hybrid); Redwood City, CA (Hybrid); San Francisco, CA (Hybrid)", "descriptionHtml": "About Snorkel
\nAt Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
\nWe’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
About the Role \nIn this role, you will build and lead our forward-deployed engineering (FDE) team, working directly with leading labs and enterprises to scope, build and deliver high quality datasets to support their most critical AI initiatives.
\nYou’ll lead a team that will own quality in the end-to-end data pipeline. This will include working with customers to define what “good” data looks like to implement the relevant workflows in their platform. You will design innovative ML approaches to enhance human-in-the-loop (HITL) techniques and improve the efficiency of data generation and review processes. Your team will own systems and tools that enable consistent, scalable, and high-quality data delivery to our customers.
\nSitting at the critical intersection of data engineering, ML engineering, operations, and customer engagement— leading scoping and preselling efforts. You'll also partner closely with the Snorkel delivery team and cross-functional stakeholders to define quality standards, develop measurement frameworks, drive ML-based workflows to improve data pipelines and unblock projects through technical innovation. As the founding member, you’ll also roll up your sleeves to define and own the workflows and processes that are needed to deliver exceptional data at scale.
\nMain Responsibilities\n\nWhat We’re Looking For\n
\nWhy Join Snorkel AI?\n
At Snorkel AI, we're building the future of data-centric AI. Our Expert Data-as-a-Service organization partners with world-class customers to solve some of the hardest data challenges — creating training and evaluation data that power the next generation of LLMs and AI systems. You'll work directly on projects that impact real production systems, while shaping how internal teams deliver faster, better, and more intelligently. This is a rare opportunity to found a function and have a broad, lasting impact across the company.
Be Your Best at Snorkel
\nJoining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
\nSnorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
\nWe will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
", "source": "greenhouse", "sourceCompany": "snorkelai", "applyUrl": "https://job-boards.greenhouse.io/snorkelai/jobs/5828338004", "postedAt": "2026-05-11", "tags": [ "FDE", "deployment", "hybrid" ], "rawSourceId": "5828338004", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/snorkelai/jobs/5828338004", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "snorkel-ai-manager-forward-deployed-engineering-ff433e3e", "title": "Manager, Forward Deployed Engineering", "company": "Snorkel AI", "location": "New York City, NY (Hybrid); Redwood City, CA (Hybrid); San Francisco, CA (Hybrid)", "descriptionHtml": "About Snorkel
\nAt Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
\nWe’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
About the Role\nSnorkel AI is hiring a Manager, Forward Deployed Engineering to build and lead our Forward Deployed Engineering (FDE) function within the Data-as-a-Service (DaaS) organization.
\nThis team is responsible for the technical execution layer of DaaS delivery — owning the systems, workflows, and quality frameworks that power high-quality dataset production at scale.
\nYou will lead a team of engineers who operate across the full AI data lifecycle: designing evaluation systems, building ML-assisted workflows, and developing the technical foundations that make human-in-the-loop (HITL) data generation faster, more reliable, and scalable.
\nThis is a hands-on, player coach role where you’ll both help define the strategy and architecture of our data pipelines while staying close to implementation. As a founding leader, you will establish how FDE partners with Delivery, Engineering, and Research to ensure consistent, high-quality execution across all DaaS projects.
\nYou’ll operate at the intersection of data engineering, ML engineering, and production operations, driving the evolution of our technical delivery capabilities and enabling Snorkel to scale its impact across increasingly complex AI workloads.
\nMain Responsibilities\nNice to have:
\nAt Snorkel AI, we're building the future of data-centric AI. Our Expert Data-as-a-Service organization partners with world-class customers to solve some of the hardest data challenges — creating training and evaluation data that power the next generation of LLMs and AI systems. You'll work directly on projects that impact real production systems, while shaping how internal teams deliver faster, better, and more intelligently. This is a rare opportunity to find a function and have a broad, lasting impact across the company.
Salary Range $220,000—$320,000 USDBe Your Best at Snorkel
\nJoining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
\nSnorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
\nWe will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
", "source": "greenhouse", "sourceCompany": "snorkelai", "applyUrl": "https://job-boards.greenhouse.io/snorkelai/jobs/5830807004", "postedAt": "2026-05-11", "tags": [ "FDE", "deployment", "hybrid" ], "rawSourceId": "5830807004", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/snorkelai/jobs/5830807004", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "snorkel-ai-staff-applied-ai-engineer-pre-sales-d78475c4", "title": "Staff Applied AI Engineer - Pre-Sales", "company": "Snorkel AI", "location": "New York City, NY (Hybrid); Redwood City, CA (Hybrid); San Francisco, CA (Hybrid); United States (Remote)", "descriptionHtml": "About Snorkel
\nAt Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
\nWe’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
About Snorkel\nWe’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
\nAs an Applied AI Engineer (Pre-Sales), you will partner closely with Sales and our AI Solution Practice Leaders during pre-sales engagements. You will lead technical discovery and solution scoping to identify high-value use cases, and develop tailored demos and pilots that demonstrate how modern GenAI and machine learning techniques can drive measurable business outcomes. You will also translate proposed solutions into clearly scoped, technically sound proposals and Statement of Works (SOWs) that set realistic expectations and position engagements for success, while collaborating with delivery teams during initial implementation.
\nThis role sits at the intersection of deep technical problem-solving and customer partnership. You will help customers unpack complex business challenges, quickly prototype solutions, and clearly communicate technical approaches to both engineering teams and senior business stakeholders. From early architecture discussions to demo development, you will play a key role in helping organizations adopt AI effectively while surfacing field insights that inform our product and research roadmap.
\nMain Responsibilities\nCompensation range is $190K - $300K OTE. All offers also include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
\nLocations\nNew York; San Francisco Bay Area; Austin; Dallas; Seattle; Atlanta; Nashville; Boston; Remote - US
\n
#LI-CG1
Be Your Best at Snorkel
\nJoining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
\nSnorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
\nWe will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
", "source": "greenhouse", "sourceCompany": "snorkelai", "applyUrl": "https://job-boards.greenhouse.io/snorkelai/jobs/5831080004", "postedAt": "2026-05-11", "tags": [ "applied-AI", "remote" ], "rawSourceId": "5831080004", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/snorkelai/jobs/5831080004", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "helsing-maritime-field-engineer-4cb02ea3", "title": "Maritime Field Engineer", "company": "Helsing", "location": "Plymouth", "descriptionHtml": "Who we are\n\nHelsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
\nAs democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
\nWe are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
\n\nThe role\nAs a Maritime Field Engineer, you will be central to maturing Helsing's military AI products from proof of concept to large-scale operational rollout. Working at the boundary between software, hardware and the maritime environment, you will test combined systems throughout the product development lifecycle — in the lab, at the waterfront, and at sea. You will collaborate closely with software and AI engineers, product managers and end users in a tight iteration loop, providing the critical feedback that shapes how our products evolve. Your work will directly assure that Helsing's products are safe, reliable and ready for deployment, ensuring that what we build performs when it matters most.\nThe day-to-day\nTest combined software and hardware products end to end in the lab and in the field, capturing data and providing structured feedback to Helsing's software and AI engineers to drive product improvement
\nPrepare, transport, mobilise and demobilise equipment at test locations — including ports and offshore environments — and execute tests at sea
\nInstall AI software onto edge computing devices using Helsing's in-house deployment tools, ensuring systems are correctly configured for field conditions
\nRepair and maintain marine mechanical and electrical systems in the field, minimising downtime and keeping test programmes on schedule
\nDesign, refine and improve test plans and safety standard operating procedures, raising the bar for how Helsing conducts field operations
\nDefine the resources required to maintain an effective and efficient field testing operation — for example, procuring hardware, trialling new software tools for inventory management and QA, or establishing support vessels and waterfront storage
\nAdvise on training course design and in-service support procedures, helping to shape how end users interact with Helsing's products
\nTravel to testing locations across the UK, France, Germany and beyond as required
\nHave strong technical aptitude and can understand complex hardware and software products at a systems level — you are driven to understand how something works, or why it does not
\nCommunicate clearly in writing and speech, producing concise documentation and explaining technical concepts effectively to both engineering and non-engineering audiences
\nHave independently owned critical workstreams, identified problems and taken the initiative to resolve them without waiting for direction
\nAre committed to protecting liberal democratic values by contributing to the defence and security sector
\nAre comfortable working at sea for periods of up to two weeks
\nHave a practical, hands-on approach to working with hardware, equipment and field environments
\nNote: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
\nNice to Have\nExperience testing software and/or hardware products at any stage of maturity, from prototype to production system
\nExperience working on the water in an operational or technical capacity
\nExperience training end users on complex hardware and/or software products, or providing in-service support
\nExperience planning and executing maritime trials
\nRecognised industry qualifications to operate workboats up to 24m at sea
\nHelsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns
\nThe work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world
\nOur work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward
\nIn our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts
\nWe actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about
\nCompetitive salary and VSOP options
\nRelocation support: up to €2,500 and 4 weeks temporary accommodation
\nLearning: €500/£450 yearly allowance
\nHealth & wellness: gym membership and mental health support (Nilo.health)
\nSocial: regularly company events and monthly social allowances
\nEnhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers.
\nFamily support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work
\nThese are the core benefits across all locations, there may be additional benefits in certain locations.
\nHelsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
\nHelsing's Candidate Privacy and Confidentiality Regime can be found here. \n \n ", "source": "greenhouse", "sourceCompany": "helsing", "applyUrl": "https://helsing.ai/jobs/4839834101?gh_jid=4839834101", "postedAt": "2026-05-14", "tags": [ "field-engineer", "onsite" ], "rawSourceId": "4839834101", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/helsing/jobs/4839834101", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "together-ai-forward-deployed-engineer-gpu-clusters-f86c2f8b", "title": "Forward Deployed Engineer (GPU Clusters)", "company": "Together AI", "location": "San Francisco", "descriptionHtml": "About the role\nAs a Forward Deployed Engineer (FDE) focused on large scale GPU clusters, you will be a hands-on technical partner to our strategic customers – the world’s leading AI model builders. You will partner with our SAs as a deep-domain specialist in large-scale infrastructure, storage, high-performance networking, and cluster orchestration. As key contributors to the CX, Engineering, and Sales organizations, FDEs add tremendous value by ensuring we can meet the requirements of our most complex POCs, facilitate successful platform adoption for our strategic customers, and guide tailored optimization efforts - directly impacting company growth and the hardening of our core platform.
\nResponsibilities\nTogether AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers on our journey in building the next generation of AI infrastructure.
\nCompensation\nWe offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $270,000 - $300,000 OTE + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
\nEqual Opportunity\nTogether AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
\nPlease see our Privacy Policy at https://www.together.ai/privacy
", "source": "greenhouse", "sourceCompany": "togetherai", "applyUrl": "https://job-boards.greenhouse.io/togetherai/jobs/5121371007", "postedAt": "2026-05-07", "tags": [ "FDE", "deployment", "onsite" ], "rawSourceId": "5121371007", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/togetherai/jobs/5121371007", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "together-ai-forward-deployed-engineer-inference-post-training-bb08ff8c", "title": "Forward Deployed Engineer (Inference & Post-Training)", "company": "Together AI", "location": "San Francisco", "descriptionHtml": "About the role\nAs a Forward Deployed Engineer (FDE) focused on Inference & Post-Training, you will be a hands-on technical partner to our most strategic customers — production AI teams looking to leverage high quality models and do inference at scale. For us, FDE is not a replacement for a Solutions Architect; you will partner with our SAs as a deep-domain specialist in inference optimization, fine-tuning pipelines, and production deployment. As key contributors to both the CX, Engineering, and Sales organizations, FDEs add tremendous value by ensuring we can meet the requirements of our most complex POCs, facilitate successful platform adoption, and guide tailored optimization efforts — directly impacting customer success, company growth, and the hardening of our core platform.
\nResponsibilities\nTogether AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers on our journey in building the next generation of AI infrastructure.
\nCompensation\nWe offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $270,000 - $300,000 OTE + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
\nEqual Opportunity\nTogether AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
\nPlease see our Privacy Policy at https://www.together.ai/privacy
", "source": "greenhouse", "sourceCompany": "togetherai", "applyUrl": "https://job-boards.greenhouse.io/togetherai/jobs/5131941007", "postedAt": "2026-05-07", "tags": [ "FDE", "deployment", "onsite" ], "rawSourceId": "5131941007", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/togetherai/jobs/5131941007", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "labelbox-forward-deployed-engineer-2e841512", "title": "Forward Deployed Engineer", "company": "Labelbox", "location": "San Francisco Bay Area", "descriptionHtml": "Shape the Future of AI\nAt Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.
\nAbout Labelbox\nWe're the only company offering three integrated solutions for frontier AI development:
\nGet an inside look and hear directly from our current Forward Deployed Engineers here!
\nThis role requires an entrepreneurial mindset. You will operate like a technical cofounder: with high agency, deep technical engagement, and a bias for action.
\nYou will use a unique mix of engineering, product, and sales to deliver data on high stakes projects for leading frontier AI labs. You will work with human data teams or AI researchers in customer organizations to produce the best datasets for model evals, supervised finetuning, or ground truth data for advanced and emerging reinforcement learning techniques.
\nYour Impact\nUnderstand the Data Needs of AI Leaders: Work directly with the most advanced AI labs to define and refine data strategies.
\nDesign and Operate Human Data Pipelines: Build scalable, high-quality data pipelines to power next-gen AI.
\nDevelop and Optimize Code: Write Python scripts for data processing and quality analysis.
\nShape the Future of AI Infrastructure: Define engineering requirements to improve human data tools and workflows.
\nMaster’s degree or higher in Computer Science, Engineering, Mathematics, or AI-related fields.
\nProficiency in Python and data analysis.
\nExceptional communication skills: ability to convey complex technical concepts clearly.
\nStrong project management and organizational skills.
\nPassion for AI and the intersection of technology, product, and customer needs.
\nAs part of the Alignerr Services team, you'll lead implementation of customer projects and manage our elite network of AI experts who deliver high-quality human feedback crucial for AI advancement. Your team will oversee 250,000+ monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects, resulting in quality improvements for Frontier AI Labs. You'll leverage our AI-powered talent acquisition system and exclusive access to 16M+ specialized professionals to rapidly build and deploy expert teams that help customers, which include the majority of leading AI labs and AI disruptors, achieve breakthrough AI capabilities through precisely aligned human data—directly contributing to the critical human element in advancing artificial intelligence.
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
Annual base salary range$140,000—$200,000 USDLife at Labelbox\nWe believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.
\nLabelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.
\nYour Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.
\nAny emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.
", "source": "greenhouse", "sourceCompany": "labelbox", "applyUrl": "https://job-boards.greenhouse.io/labelbox/jobs/4640927007", "postedAt": "2026-04-01", "tags": [ "FDE", "deployment", "onsite" ], "rawSourceId": "4640927007", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/labelbox/jobs/4640927007", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "labelbox-forward-deployed-engineering-manager-62608da4", "title": "Forward Deployed Engineering Manager", "company": "Labelbox", "location": "San Francisco Bay Area", "descriptionHtml": "Shape the Future of AI\nAt Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.
\nAbout Labelbox\nWe're the only company offering three integrated solutions for frontier AI development:
\nWe’re hiring a Forward Deployed Engineering Manager to lead the design, development, and delivery of reinforcement learning environments for agentic AI systems.
\nYou’ll manage a team responsible for building sandboxed, reproducible environments—terminal-based workflows, browser automation, and computer-use simulations—that power both model training and human-in-the-loop evaluation. This is a hands-on leadership role where you’ll set technical direction, guide execution, and stay close to architecture and critical systems.
\n\nWhat You’ll Do\nRequired
\nPreferred
\nRL environment quality is a critical bottleneck in advancing agentic AI. Poorly designed or unreliable environments introduce noise into training loops and directly impact model performance.
\nIn this role, you’ll lead the team building the environments that define how models learn—working across a range of cutting-edge projects with leading AI labs. Alignerr offers the speed and ownership of a startup with the scale and resources of Labelbox, giving you the opportunity to have outsized impact on the future of AI.
\nAbout Alignerr\nAlignerr is Labelbox’s human data organization, powering next-generation AI through high-quality training data, reinforcement learning environments, and evaluation systems. We partner directly with leading AI labs to build the data and infrastructure that push model capabilities forward.
\n\nLabelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
Annual base salary range$180,000—$220,000 USDLife at Labelbox\nWe believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.
\nLabelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.
\nYour Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.
\nAny emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.
", "source": "greenhouse", "sourceCompany": "labelbox", "applyUrl": "https://job-boards.greenhouse.io/labelbox/jobs/5101195007", "postedAt": "2026-04-15", "tags": [ "FDE", "deployment", "onsite" ], "rawSourceId": "5101195007", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/labelbox/jobs/5101195007", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "labelbox-forward-deployed-engineer-intern-6392b221", "title": "Forward Deployed Engineer Intern", "company": "Labelbox", "location": "San Francisco Bay Area", "descriptionHtml": "Shape the Future of AI\nAt Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.
\nAbout Labelbox\nWe're the only company offering three integrated solutions for frontier AI development:
\nAs a Forward Deployed Engineer Intern, you will work alongside a senior FDE on real client engagements with leading AI labs. You will own concrete pieces of those engagements - writing scripts to process and analyze data, building automated quality checks, and helping validate that the data we deliver is good enough to ship. The work is hands-on, fast-paced, and rarely arrives with a complete spec.
\nThis is not a shadowing internship. You will be expected to take ownership of your projects, work through ambiguity with your manager, and ship work that real clients depend on. If you do well, you will see your work translate directly into how frontier AI models are trained and evaluated.
\nAbout Labelbox\nLabelbox builds the data infrastructure behind frontier AI development. We work with leading research labs and enterprises to produce the high-quality datasets used for evaluation, supervised fine-tuning, and reinforcement learning. The Frontier AI team you will be joining sits at the intersection of engineering and applied research, working directly with AI lab partners on some of the most demanding data problems in the industry.
\nWhat you'll do\nWe care more about how you think than about a specific list of credentials. The things below are what tend to make interns successful in this role:
\nFDE work at Labelbox is a spot where it spans engineering, research, and direct client work. As an intern, you will get exposure to all three - and to the kinds of problems that most engineering internships do not touch. You will work with people who care about getting the technical details right and who will give you the room to do the same.
\n\nCompensation\n
This is a paid internship with an hourly rate of $50-$70 per hour.
\n\n
Life at Labelbox\n
We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.
\nLabelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.
\nYour Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.
\nAny emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.
", "source": "greenhouse", "sourceCompany": "labelbox", "applyUrl": "https://job-boards.greenhouse.io/labelbox/jobs/5126745007", "postedAt": "2026-05-01", "tags": [ "FDE", "deployment", "onsite" ], "rawSourceId": "5126745007", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/labelbox/jobs/5126745007", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "labelbox-forward-deployed-engineer-rl-environments-d329760f", "title": "Forward Deployed Engineer, RL Environments", "company": "Labelbox", "location": "San Francisco Bay Area", "descriptionHtml": "Shape the Future of AI\nAt Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.
\nAbout Labelbox\nWe're the only company offering three integrated solutions for frontier AI development:
\nThe Role
\nWe’re hiring a Forward Deployed Engineer to own the design, development, and operationalization of reinforcement learning environments. You’ll build the sandboxed, reproducible execution environments that AI agents interact with during training and evaluation—things like terminal-based task benchmarks, browser and computer-use environments, and tool-augmented agentic workspaces.
\nThis is a hands-on engineering role. You’ll write production-quality infrastructure code, integrate with open-source RL tooling, and work closely with our data operations team to ensure environments are robust, observable, and ready for human annotators and model agents alike. You won’t be doing ML research, but you’ll need to deeply understand how RL training loops consume environments and where the bottlenecks live.
\nWhat You’ll Do
\nWhat We’re Looking For
\nRequired
\nPreferred
\nCandidate Archetype
\nThe ideal candidate is a strong software engineer first, with genuine curiosity and working knowledge of reinforcement learning. You’ve probably built infrastructure or developer tooling at a startup or mid-stage company, and you’ve been pulled toward the ML/AI space—maybe through side projects, open-source contributions, or a prior role adjacent to an ML team. You’re the kind of engineer who reads an RL benchmark paper and immediately thinks about how to make the environment more robust, not how to improve the policy gradient.
\nYou thrive in ambiguity. You can take a loosely defined project requirement—“build an environment that tests an agent’s ability to navigate a file system and execute multi-step bash workflows”—and deliver a working, tested, documented system without needing a detailed spec. You move fast, but you care about reliability because you know environments that break silently poison training data.
\nWhy This Role Matters
\nAlignerr is Labelbox’s human data organization, purpose-built to generate the high-quality training data that powers the next generation of AI models. We partner directly with leading AI labs to produce reinforcement learning environments, evaluation benchmarks, and expert-annotated datasets that push model capabilities forward. Our team sits at the intersection of software engineering, ML infrastructure, and human-in-the-loop data production.
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
Annual base salary range$140,000—$200,000 USDLife at Labelbox\nWe believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.
\nLabelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.
\nYour Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.
\nAny emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.
", "source": "greenhouse", "sourceCompany": "labelbox", "applyUrl": "https://job-boards.greenhouse.io/labelbox/jobs/5101187007", "postedAt": "2026-04-07", "tags": [ "FDE", "deployment", "onsite" ], "rawSourceId": "5101187007", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/labelbox/jobs/5101187007", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "labelbox-forward-deployed-research-scientist-8619b411", "title": "Forward Deployed Research Scientist", "company": "Labelbox", "location": "San Francisco Bay Area", "descriptionHtml": "Shape the Future of AI\nAt Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.
\nAbout Labelbox\nWe're the only company offering three integrated solutions for frontier AI development:
\nAlignerr is Labelbox's human data organization — we produce the training data that frontier AI labs use to build their most capable models. Our Forward Deployed Research Team sits at the intersection of research science and client delivery, embedding research capability directly into the engagements that drive our business.
\nThis is not a traditional research scientist role. You will not spend months pursuing a single research question. You will work on multiple client engagements simultaneously, operating on timescales of days to weeks. You will sit in scoping meetings with research teams at major AI labs, reason scientifically about data strategy in real time, fine-tune open-weight models to validate our data methodology, and collaborate with our Applied Research team to turn client-grounded findings into published work. The pace is fast, the problems are applied, and the feedback loops are short.
\nWe are looking for someone who finds that energizing, not compromising.
\nYour Impact\nEngage directly with frontier lab research teams. You will be in the room during client scoping meetings — not as support staff, but as a technical peer. You'll engage on methodology, challenge assumptions about data requirements, and shape project specifications based on a scientific understanding of how data composition affects model outcomes.
\nDevelop deep scientific understanding of client engagements. For each project, you will build a working model of the client's architecture, training methodology, and target capabilities. You'll use this understanding to reason about why a particular data strategy will or won't work, identify risks early, and iterate with empirical grounding — not intuition.
\nRun ablation studies and fine-tune open-weight models. You will fine-tune models on client data (and proxy data) to empirically measure the impact of our data on model performance. This is how we validate that what we deliver actually improves our customers' models — and how we catch problems before the client does.
\nConsult on workflow and quality systems. You will partner with our Human Data Operations team to review annotation schemas, task designs, and quality rubrics before projects go into execution. Your job is to ensure the spec is technically sound — that the data we produce will actually serve the client's training objectives.
\nCollaborate with Applied Research on publications and benchmarks. Our Applied Research team owns the long-horizon research agenda. Your role is to feed them signal from the field — generalizable findings, reusable methodologies, empirical results — and help drive joint projects to completion. You will contribute to benchmarks, white papers, and conference submissions that establish Labelbox's research credibility.
\nRequired
\nStrongly Preferred
\nWhat Matters More Than Credentials
\nLabelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
Annual base salary range$200,000—$300,000 USDLife at Labelbox\nWe believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.
\nLabelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.
\nYour Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.
\nAny emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.
", "source": "greenhouse", "sourceCompany": "labelbox", "applyUrl": "https://job-boards.greenhouse.io/labelbox/jobs/5101375007", "postedAt": "2026-05-15", "tags": [ "FDE", "deployment", "onsite" ], "rawSourceId": "5101375007", "rawSourceUrl": "https://boards-api.greenhouse.io/v1/boards/labelbox/jobs/5101375007", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "cohere-forward-deployed-engineer-agentic-platform-uk-europe-eefa00df", "title": "Forward Deployed Engineer, Agentic Platform (UK/Europe)", "company": "Cohere", "location": "Remote", "source": "ashby", "sourceCompany": "cohere", "applyUrl": "https://jobs.ashbyhq.com/cohere/2d256112-b336-4539-8133-a0bf7f6698f0", "descriptionHtml": "Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
About North:North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
Why This Role?This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.
We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows.
You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.
In this role, you will:
Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies
Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance
Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production
Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution
Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams
Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization
Travel up to 20–40% to work on-site with customers and partners
You may be a good fit if:
You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code
You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute
You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks
You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency
You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs
You have experience owning the full scope of a use case end-to-end
You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting
It's a bonus if you have:
Experience setting architectural standards for AI and agentic systems across distributed teams
Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it
Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)
Experience with enterprise security, compliance, or auditability requirements for AI systems
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
🤝 An open and inclusive culture and work environment
🧑💻 Work closely with a team on the cutting edge of AI research
🍽 Weekly lunch stipend, in-office lunches & snacks
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for up to 6 months
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
✈️ 6 weeks of vacation (30 working days!)
", "tags": [ "FDE", "deployment", "remote" ], "rawSourceId": "2d256112-b336-4539-8133-a0bf7f6698f0", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/cohere/jobs/2d256112-b336-4539-8133-a0bf7f6698f0", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "cohere-forward-deployed-engineer-infrastructure-specialist-uk-eu-me-50d8b90e", "title": "Forward Deployed Engineer, Infrastructure Specialist (UK/EU/ME)", "company": "Cohere", "location": "Remote", "source": "ashby", "sourceCompany": "cohere", "applyUrl": "https://jobs.ashbyhq.com/cohere/69a9ab2e-a7eb-4c4f-825a-5c25cf063900", "descriptionHtml": "Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
About North:North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
Why This Role?This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS.
We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI.
In this role, you will:
Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout.
Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices.
Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations
Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards.
Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime.
You may be a good fit if:
You have experience with and enjoy working directly with customers
You have experience deploying enterprise software in private/hybrid cloud environments
You have proven experience administering production Kubernetes clusters and expertise with Helm
Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control
You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization
You excel in fast-paced environments and can execute while priorities and objectives are a moving target
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
🤝 An open and inclusive culture and work environment
🧑💻 Work closely with a team on the cutting edge of AI research
🍽 Weekly lunch stipend, in-office lunches & snacks
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for up to 6 months
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
✈️ 6 weeks of vacation (30 working days!)
", "tags": [ "FDE", "deployment", "remote" ], "rawSourceId": "69a9ab2e-a7eb-4c4f-825a-5c25cf063900", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/cohere/jobs/69a9ab2e-a7eb-4c4f-825a-5c25cf063900", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "cohere-forward-deployed-engineer-infrastructure-specialist-north-7bf41dc1", "title": "Forward Deployed Engineer, Infrastructure Specialist (North America)", "company": "Cohere", "location": "Remote", "source": "ashby", "sourceCompany": "cohere", "applyUrl": "https://jobs.ashbyhq.com/cohere/be48aafc-9610-4ebd-8414-a0722a3cd59a", "descriptionHtml": "Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
About North:North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
Why This Role?This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS.
We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI.
In this role, you will:
Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout.
Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices.
Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations
Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards.
Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime.
You may be a good fit if:
You have experience with and enjoy working directly with customers
You have experience deploying enterprise software in private/hybrid cloud environments
You have proven experience administering production Kubernetes clusters and expertise with Helm
Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control
You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization
You excel in fast-paced environments and can execute while priorities and objectives are a moving target
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
🤝 An open and inclusive culture and work environment
🧑💻 Work closely with a team on the cutting edge of AI research
🍽 Weekly lunch stipend, in-office lunches & snacks
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for up to 6 months
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
✈️ 6 weeks of vacation (30 working days!)
", "tags": [ "FDE", "deployment", "remote" ], "rawSourceId": "be48aafc-9610-4ebd-8414-a0722a3cd59a", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/cohere/jobs/be48aafc-9610-4ebd-8414-a0722a3cd59a", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "cohere-software-engineer-applied-ml-uk-public-sector-0a49fad4", "title": "Software Engineer - Applied ML - UK Public Sector", "company": "Cohere", "location": "Remote", "source": "ashby", "sourceCompany": "cohere", "applyUrl": "https://jobs.ashbyhq.com/cohere/df93ec57-d51e-4466-93be-4878c5fda4da", "descriptionHtml": "Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
About the Company:
Cohere’s team partners with UK public sector organisations to unlock transformative value through secure, ethical deployment of Generative AI (GenAI) solutions. We work collaboratively with government agencies, NHS trusts, and local authorities to address complex societal challenges while maintaining the highest standards of data security and compliance.
As a Software Engineer (SWE) on our Applied ML team you will work directly with UK public sector customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack.
In this role, you’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!
About the Role:
We seek strong SWE's with deep UK public sector expertise to lead GenAI implementation projects. This role requires active SC Clearance (with willingness to obtain DV Clearance if needed).
In this role, you will:
Own and build large new areas within our product.
Work across the backend, frontend, and interact with Large Language Models.
Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.
Work across the entire product lifecycle from conceptualisation through production.
This career opportunity may be a good match for you if you have:
Proficiency in one or more of Go, Python, Node, React, Next.js.
Experience building ML infrastructure and AI-powered solutions.
Background in developing language models using frameworks like Lang Chain and evaluating their performance using tools such as the Llama Index.
A track record in scaling products at hyper-growth startups.
Strong written and verbal communication skills.
Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.
Qualifications:
Mandatory: Active SC Clearance (DV Clearance preferred)
UK citizenship with 8+ years in public sector technology roles
Proven experience deploying AI/ML solutions in secure government environments
Deep understanding of UK public sector ecosystems (Central/Local Government, NHS, Emergency Services)
Familiarity with government cloud strategies (e.g., Crown Hosting, G-Cloud, MODNET) and data security frameworks
Experience building LLM applications using tools such as Langchain.
Experience in Information Retrieval systems for document question answering.
Experience in day-to-day NLP for the industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
🤝 An open and inclusive culture and work environment
🧑💻 Work closely with a team on the cutting edge of AI research
🍽 Weekly lunch stipend, in-office lunches & snacks
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for up to 6 months
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
✈️ 6 weeks of vacation (30 working days!)
", "tags": [ "applied-ML", "remote" ], "rawSourceId": "df93ec57-d51e-4466-93be-4878c5fda4da", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/cohere/jobs/df93ec57-d51e-4466-93be-4878c5fda4da", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "cohere-forward-deployed-engineer-infrastructure-specialist-41377f41", "title": "Forward Deployed Engineer, Infrastructure Specialist", "company": "Cohere", "location": "Remote", "source": "ashby", "sourceCompany": "cohere", "applyUrl": "https://jobs.ashbyhq.com/cohere/38f75a48-199c-4325-a7f8-2af6ed6a1b3b", "descriptionHtml": "Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
About North:North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
Why This Role?This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS.
We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI.
Note: between 20 - 40% travel anticipated
In this role, you will:
Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout.
Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices.
Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations
Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards.
Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime.
You may be a good fit if:
You have experience with and enjoy working directly with customers
You have experience deploying enterprise software in private/hybrid cloud environments
You have proven experience administering production Kubernetes clusters and expertise with Helm
Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control
You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization
You excel in fast-paced environments and can execute while priorities and objectives are a moving target
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
🤝 An open and inclusive culture and work environment
🧑💻 Work closely with a team on the cutting edge of AI research
🍽 Weekly lunch stipend, in-office lunches & snacks
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for up to 6 months
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
✈️ 6 weeks of vacation (30 working days!)
", "tags": [ "FDE", "deployment", "remote" ], "rawSourceId": "38f75a48-199c-4325-a7f8-2af6ed6a1b3b", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/cohere/jobs/38f75a48-199c-4325-a7f8-2af6ed6a1b3b", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "cohere-forward-deployed-engineer-agentic-platform-87030dde", "title": "Forward Deployed Engineer, Agentic Platform", "company": "Cohere", "location": "Remote", "source": "ashby", "sourceCompany": "cohere", "applyUrl": "https://jobs.ashbyhq.com/cohere/b0bcef37-1d20-414f-aade-c54942d63df9", "descriptionHtml": "Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
About North:North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
Why This Role?This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS.
We are seeking engineers with diverse skill sets, including backend, infrastructure, agent development, and deployments, who deeply care about customers and want to work at the cutting edge of Agentic AI.
Note: between 20 - 40% travel anticipated
In this role, you will:
Build and ship features for North, our AI workspace platform
Develop autonomous agents that talk to sensitive enterprise data
Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations
Work across the entire product lifecycle from conceptualization through production
You may be a good fit if:
You have experience with and enjoy working directly with customers
You have shipped (lots of) Python in production
You have built and deployed highly performant client-side or server-side RAG/agentic applications
You have strong coding abilities and are comfortable working across the stack. You’re able to read and understand, and even fix issues outside of the main code base
You excel in fast-paced environments and can execute while priorities and objectives are a moving target
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
🤝 An open and inclusive culture and work environment
🧑💻 Work closely with a team on the cutting edge of AI research
🍽 Weekly lunch stipend, in-office lunches & snacks
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for up to 6 months
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
✈️ 6 weeks of vacation (30 working days!)
", "tags": [ "FDE", "deployment", "remote" ], "rawSourceId": "b0bcef37-1d20-414f-aade-c54942d63df9", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/cohere/jobs/b0bcef37-1d20-414f-aade-c54942d63df9", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "cohere-forward-deployed-engineer-prompt-specialist-ffe99ed8", "title": "Forward Deployed Engineer, Prompt Specialist", "company": "Cohere", "location": "Remote", "source": "ashby", "sourceCompany": "cohere", "applyUrl": "https://jobs.ashbyhq.com/cohere/6745547c-cc72-466c-867c-a0539b04909b", "descriptionHtml": "Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
Why This Role
This role offers a rare opportunity to shape how enterprises securely harness the power of AI in mission-critical environments. Acting as the bridge between our North platform and enterprise engineering teams, you’ll guide a talented group of engineers to deliver cutting-edge, scalable agentic AI solutions to clients in sectors like finance, healthcare, and telecommunications. Our customers include global leaders such as RBC, Dell, and LG CNS.
In this role, you will:
Prompt Optimization: Review, refine, and iterate on prompts for Cohere’s Command model to enhance performance across diverse customer agents and use cases.
Tool Development & Evaluation: Collaborate with clients to refine custom tools and conduct rigorous evaluations to ensure alignment with their objectives.
Core Agent Development: Contribute to defining and shaping core agents for out-of-the-box (OOTB) deployment on Cohere’s North platform, driving innovation in agent capabilities.
Customer-Centric Solutions: Deeply understand customer business needs, then design and build tailored agents that deliver measurable improvements to their operations.
Metric-Driven Collaboration: Partner directly with customers to define and track key metrics. Quality, efficiency, and accuracy— ensuring agents meet and exceed their goals.
You may be a fit if:
Proven Experience: Track record of deploying LLM-powered agents in production environments, with a focus on scalability and real-world impact.
Enterprise Passion: Enthusiasm for solving complex challenges in enterprise settings through agent-based solutions.
Cross-Industry Collaborator: Thrive in collaborative environments, bringing diverse perspectives and knowledge from varied industries to drive innovation.
Technical Versatility: Comfortable operating at the intersection of software engineering and machine learning, bridging technical and business needs.
Analytical Foundation: Background in analytics, NLP, or related fields.
Experience Level: 0–5 years of professional experience, with a growth mindset and eagerness to shape the future of AI-driven agents.
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
🤝 An open and inclusive culture and work environment
🧑💻 Work closely with a team on the cutting edge of AI research
🍽 Weekly lunch stipend, in-office lunches & snacks
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for up to 6 months
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
✈️ 6 weeks of vacation (30 working days!)
", "tags": [ "FDE", "deployment", "remote" ], "rawSourceId": "6745547c-cc72-466c-867c-a0539b04909b", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/cohere/jobs/6745547c-cc72-466c-867c-a0539b04909b", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "cohere-applied-ai-engineer-agentic-workflows-dd07155c", "title": "Applied AI Engineer – Agentic Workflows", "company": "Cohere", "location": "Remote", "source": "ashby", "sourceCompany": "cohere", "applyUrl": "https://jobs.ashbyhq.com/cohere/1fa01a03-9253-4f62-8f10-0fe368b38cb9", "descriptionHtml": "Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and Agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
We’re a fast-growing startup building production-grade AI agents for enterprise customers at scale. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs)—from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows.
In this role, you’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.
You’ll collaborate closely with customers, product, and platform teams, and help shape how agentic systems are built, evaluated, and deployed at scale.
Customer-Facing Technical Impact
Work closely with enterprise customers to translate high-value, ambiguous business problems into well-framed agentic problems with clear success criteria and evaluation methodologies.
Provide technical leadership across the full development and evaluation lifecycle, including post-deployment iteration, for agentic workflows.
Contribute to shared frameworks and patterns that enable consistent delivery across customers.
Agent Design, Build and Production launches
Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools and data sources with enterprise-grade reliability and performance.
Balance rapid iteration with enterprise requirements, evolving prototypes into stable, reusable solutions.
Define and apply evaluation and quality standards to measure success, failures, and regressions.
Debug real-world agent behavior and systematically improve prompts, workflows, tools, and guardrails.
Team Mentorship & Organizational Impact
Mentor engineers across distributed teams.
Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization.
Technical Foundations & Applied AI
Production Engineering: Substantial experience building, shipping, and maintaining production-grade software (Python/TypeScript). You understand how to write clean, testable, observable and scalable code.
Agentic Architectures: Hands-on experience building agents that plan and execute multi-step tasks (ReAct, Plan-and-Execute) and interact with external APIs/tools.
The LLM Stack: Deep familiarity with Frontier Models (GPT, Claude, Gemini), RAG, vector databases (Pinecone, Weaviate, etc.), and orchestration frameworks (LangGraph, CrewAI, or custom state machines).
Rigorous Evaluation: Proven ability to move beyond \"trial and error\" by building robust evaluation frameworks to measure agent accuracy, safety, and latency.
Leadership & Impact
Stakeholder Mastery: Experience leading technical discussions with enterprise customers to translate ambiguous business needs into concrete technical specs.
Experience mentoring distributed teams and setting the architectural standards for AI/Agentic systems.
Strong written and verbal communication skills.
Ability and interest to travel up to 25%, flexible.
Build production-grade AI agents used in real enterprise workflows.
Operate at scale while retaining end-to-end ownership.
Work on hard problems in agent design, evaluation, and reliability.
Shape shared platforms and standards, not just individual features.
Move fast with a high bar for quality, safety, and reliability.
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
🤝 An open and inclusive culture and work environment
🧑💻 Work closely with a team on the cutting edge of AI research
🍽 Weekly lunch stipend, in-office lunches & snacks
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for up to 6 months
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
✈️ 6 weeks of vacation (30 working days!)
", "tags": [ "applied-AI", "remote" ], "rawSourceId": "1fa01a03-9253-4f62-8f10-0fe368b38cb9", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/cohere/jobs/1fa01a03-9253-4f62-8f10-0fe368b38cb9", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "cohere-applied-ai-engineer-agentic-workflows-singapore-b36e3a34", "title": "Applied AI Engineer - Agentic Workflows (Singapore)", "company": "Cohere", "location": "Remote", "source": "ashby", "sourceCompany": "cohere", "applyUrl": "https://jobs.ashbyhq.com/cohere/9c18b199-cd1f-4ef3-9fab-ce05589348ae", "descriptionHtml": "Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
Why this role?We’re a fast-growing startup building production-grade AI agents for enterprise customers at scale. We’re looking for Applied AI Engineers who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs)—from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows.
In this role, you’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.
You’ll collaborate closely with customers, product, and platform teams, and help shape how agentic systems are built, evaluated, and deployed at scale.
What You’ll DoWork with enterprise customers and internal teams to turn business workflows into scalable, production-ready agentic AI systems.
Design and build LLM-powered agents that reason, plan, and act across tools and data sources with enterprise-grade reliability.
Balance rapid iteration with enterprise requirements, evolving prototypes into stable, reusable solutions.
Define and apply evaluation and quality standards to measure success, failures, and regressions.
Debug real-world agent behavior and systematically improve prompts, workflows, tools, and guardrails.
Contribute to shared frameworks and patterns that enable consistent delivery across customers.
Bachelor’s degree in Computer Science or a related technical field.
Strong programming skills in Python and/or JavaScript/TypeScript.
3+ years of experience building and shipping production software; 2+ years working with LLMs or AI APIs.
Hands-on experience with modern LLMs (e.g., GPT, Claude, Gemini), vector databases, and agent/orchestration frameworks (e.g., LangChain, LangGraph, LlamaIndex, or custom solutions).
Practical experience with RAG, agent workflows, evaluation, and performance optimization.
Strong agent design skills, including prompt engineering, tool use, multi-step agent workflows (e.g. ReAct), and failure handling.
Ability to reason about and balance trade-offs between customization and reuse, as well as autonomy, control, cost, latency, and risk.
Strong communication skills and experience leading technical discussions with customers or partners.
Experience working in a fast-moving startup environment.
Prior work delivering AI or automation solutions to enterprise customers.
Familiarity with human-in-the-loop workflows, fine-tuning, or LLM evaluation techniques.
Experience with cloud deployment and production operations for AI systems.
Background in applied ML, NLP, or decision systems.
Strong written and verbal communication skills.
Ability and interest to travel up to 25%, flexible.
Build production-grade AI agents used in real enterprise workflows.
Operate at scale while retaining end-to-end ownership.
Work on hard problems in agent design, evaluation, and reliability.
Shape shared platforms and standards, not just individual features.
Move fast with a high bar for quality, safety, and reliability.
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
🤝 An open and inclusive culture and work environment
🧑💻 Work closely with a team on the cutting edge of AI research
🍽 Weekly lunch stipend, in-office lunches & snacks
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for up to 6 months
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
✈️ 6 weeks of vacation (30 working days!)
", "tags": [ "applied-AI", "remote" ], "rawSourceId": "9c18b199-cd1f-4ef3-9fab-ce05589348ae", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/cohere/jobs/9c18b199-cd1f-4ef3-9fab-ce05589348ae", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "cohere-forward-deployed-engineer-sovereign-ai-0d1ebbfe", "title": "Forward Deployed Engineer, Sovereign AI", "company": "Cohere", "location": "Remote", "source": "ashby", "sourceCompany": "cohere", "applyUrl": "https://jobs.ashbyhq.com/cohere/556467eb-3dc8-46e2-b015-277872210997", "descriptionHtml": "Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
About North:North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
Why This Role?Cohere’s team partners with Canadian public sector organisations to unlock transformative value through secure, ethical deployment of Generative AI (GenAI) solutions. We work collaboratively to address complex societal challenges while maintaining the highest standards of data security and compliance. You will work directly with public sector customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack.
This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors.
We are seeking engineers with diverse skill sets, including backend, infrastructure, agent development, and deployments, who deeply care about customers and want to work at the cutting edge of Agentic AI.
Location: Ottawa or Toronto required (proximity to government customers), 20-40% travel anticipated.
Security Clearance: Active Top Secret clearance strongly preferred; candidates eligible and willing to obtain clearance will also be considered.
More information about Canadian Security Clearance can be found here.
In this role, you will:
Build and ship features for North, our AI workspace platform
Develop autonomous agents that talk to sensitive enterprise data
Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations
Work across the entire product lifecycle from conceptualization through production
Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout
You may be a good fit if:
You have experience with and enjoy working directly with customers
You have shipped (lots of) Python in production
You have built and deployed highly performant client-side or server-side RAG/agentic applications
You have strong coding abilities and are comfortable working across the stack. You’re able to read and understand, and even fix issues outside of the main code base
You excel in fast-paced environments and can execute while priorities and objectives are a moving target
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
🤝 An open and inclusive culture and work environment
🧑💻 Work closely with a team on the cutting edge of AI research
🍽 Weekly lunch stipend, in-office lunches & snacks
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for up to 6 months
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
✈️ 6 weeks of vacation (30 working days!)
", "tags": [ "FDE", "deployment", "remote" ], "rawSourceId": "556467eb-3dc8-46e2-b015-277872210997", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/cohere/jobs/556467eb-3dc8-46e2-b015-277872210997", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "cohere-applied-ai-engineer-agentic-workflows-korea-d270b1d9", "title": "Applied AI Engineer – Agentic Workflows (Korea)", "company": "Cohere", "location": "Remote", "source": "ashby", "sourceCompany": "cohere", "applyUrl": "https://jobs.ashbyhq.com/cohere/031c2335-db85-4265-8a88-a54b911be36a", "descriptionHtml": "Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
Why this role?We’re a fast-growing startup building production-grade AI agents for enterprise customers at scale. We’re looking for Applied AI Engineers who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs)—from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows.
In this role, you’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.
You’ll collaborate closely with customers, product, and platform teams, and help shape how agentic systems are built, evaluated, and deployed at scale.
What you'll doCustomer-Facing Technical Impact
Work closely with enterprise customers to translate high-value, ambiguous business problems into well-framed agentic problems with clear success criteria and evaluation methodologies.
Provide technical leadership across the full development and evaluation lifecycle, including post-deployment iteration, for agentic workflows.
Agent Design, Build and Production launches
Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools and data sources with enterprise-grade reliability and performance.
Balance rapid iteration with enterprise requirements, evolving prototypes into stable, reusable solutions.
Define and apply evaluation and quality standards to measure success, failures, and regressions.
Debug real-world agent behavior and systematically improve prompts, workflows, tools, and guardrails.
Team Mentorship & Organizational Impact
Mentor engineers across distributed teams.
Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization.
Contribute to shared frameworks and patterns that enable consistent delivery across customers.
Technical Foundations
Demonstrated ability to build, ship, and operate production-grade software systems.
Substantial hands-on experience designing, building, evaluating, and fine-tuning LLM-based agents in real-world applications.
Deep familiarity with modern LLM ecosystems, including models (e.g., GPT, Claude, Gemini), vector databases, RAG architectures, agent/orchestration frameworks, prompt engineering, tool use, multi-step agent workflows (e.g., ReAct), and robust failure handling.
Strong proficiency in Python and/or JavaScript/TypeScript.
Experience and Leadership
Experience working directly with customers or stakeholders to design and deliver LLM-powered agentic solutions aligned with real business needs.
Proven technical leadership at the team level, including guiding architecture, implementation, and delivery of complex AI systems.
Strong written and verbal communication skills.
Fluency in English and Korean language.
Ability and interest to travel up to 25%, flexible.
Build production-grade AI agents used in real enterprise workflows.
Operate at scale while retaining end-to-end ownership.
Work on hard problems in agent design, evaluation, and reliability.
Shape shared platforms and standards, not just individual features.
Move fast with a high bar for quality, safety, and reliability.
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
🤝 An open and inclusive culture and work environment
🧑💻 Work closely with a team on the cutting edge of AI research
🍽 Weekly lunch stipend, in-office lunches & snacks
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for up to 6 months
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
✈️ 6 weeks of vacation (30 working days!)
", "tags": [ "applied-AI", "remote" ], "rawSourceId": "031c2335-db85-4265-8a88-a54b911be36a", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/cohere/jobs/031c2335-db85-4265-8a88-a54b911be36a", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "cohere-forward-deployed-engineer-infrastructure-specialist-d51496f8", "title": "Forward Deployed Engineer, Infrastructure Specialist", "company": "Cohere", "location": "Remote", "source": "ashby", "sourceCompany": "cohere", "applyUrl": "https://jobs.ashbyhq.com/cohere/fea8cc38-1a55-4f1c-a652-8c39c66138fc", "descriptionHtml": "Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
We are seeking a highly skilled and experienced Enterprise Deployment Specialist to lead the implementation and deployment of our secure AI platform, North, within enterprise organizations' environments. This role is crucial in ensuring a seamless and impactful integration of North, enabling our clients to leverage its capabilities effectively.
Responsibilities:
Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout.
Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices.
Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards.
Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime.
Develop training materials and conduct sessions to empower users to adopt North’s capabilities effectively.
Requirements:
3+ years of experience deploying enterprise software in private/hybrid cloud environments.
You are fluent in both English and Arabic.
Strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization.
Proven experience administering production Kubernetes clusters and expertise with Helm.
Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control.
Excellent problem-solving skills, attention to detail, and ability to collaborate with cross-functional teams.
We are open to candidates currently based in the Middle East or who are open to travelling or relocating.
The ideal candidate will have a track record of successful enterprise-level deployments, demonstrating the ability to manage complex projects and deliver impactful results. They should be adaptable, detail-oriented, and passionate about leveraging AI to drive organizational success.
Note: This role requires a deep understanding of both AI technologies and enterprise IT infrastructure, ensuring a seamless integration of North into diverse organizational environments.
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
🤝 An open and inclusive culture and work environment
🧑💻 Work closely with a team on the cutting edge of AI research
🍽 Weekly lunch stipend, in-office lunches & snacks
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for up to 6 months
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
✈️ 6 weeks of vacation (30 working days!)
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Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
About North:North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
Why This Role?This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.
We are seeking engineers with diverse skill sets, including backend, infrastructure, agent development, and deployments, who deeply care about customers and want to work at the cutting edge of Agentic AI.
Note: between 20 - 40% travel anticipated
In this role, you will:
Build and ship features for North, our AI workspace platform
Develop autonomous agents that talk to sensitive enterprise data
Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations
Work across the entire product lifecycle from conceptualization through production
You may be a good fit if:
You have experience with and enjoy working directly with customers
You are fluent in both English and Arabic
You have shipped (lots of) Python in production
You have built and deployed highly performant client-side or server-side RAG/agentic applications
You have strong coding abilities and are comfortable working across the stack. You’re able to read and understand, and even fix issues outside of the main code base
You excel in fast-paced environments and can execute while priorities and objectives are a moving target
We are open to candidates currently based in the Middle East or who are open to travelling or relocating.
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
🤝 An open and inclusive culture and work environment
🧑💻 Work closely with a team on the cutting edge of AI research
🍽 Weekly lunch stipend, in-office lunches & snacks
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for up to 6 months
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
✈️ 6 weeks of vacation (30 working days!)
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Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
About the RoleWe're looking for an Engineering Manager to lead our Deployment Engineering team in EMEA. This isn't a typical management role — we need someone who leads from the front, gets their hands dirty, and drives impact. You'll manage a team of Forward Deployed Engineers who are on the front lines of deploying Cohere's North platform into customer environments. You should be ready to be a force to be reckoned with.
Location: EMEA (remote-first)
What You'll DoLead and mentor a team of Forward Deployed Engineers across EMEA
Drive end-to-end deployment of North in private cloud and on-premises environments
Take ownership of customer success from technical implementation through delivery
Collaborate closely with Product, Engineering, and Sales to shape how we deliver AI to enterprises
Mentor your team on cloud infrastructure, Kubernetes, and enterprise-grade deployments
Optimize performance for OpenSearch, databases, and other K8s services
Define scaling guidelines for GPU and CPU compute resources
Build processes & technology that scales — we're growing fast.
5+ years of experience in software engineering with demonstrated leadership
Hands-on experience deploying enterprise software at scale
Strong expertise in cloud infrastructure (Azure, AWS, GCP)
Experience with Kubernetes, Helm, and CI/CD pipelines
High agency — you don't wait for permission to solve problems
A doer mentality — you dig in and get stuff done
Experience managing engineers in a fast-paced, high-growth environment
Excellent communication skills in English.
Fluency in additional European languages
Experience with AI/ML infrastructure
Background in enterprise security and compliance.
Remote-flexible work from anywhere in EMEA
6 weeks of paid vacation
Equity/stock options
Competitive salary
Co-working stipend
Annual learning allowance ($2,000)
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
🤝 An open and inclusive culture and work environment
🧑💻 Work closely with a team on the cutting edge of AI research
🍽 Weekly lunch stipend, in-office lunches & snacks
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for up to 6 months
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
✈️ 6 weeks of vacation (30 working days!)
", "tags": [ "FDE", "remote" ], "rawSourceId": "9bdbb821-6536-4090-8faa-a2b04a70bbf1", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/cohere/jobs/9bdbb821-6536-4090-8faa-a2b04a70bbf1", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "cohere-forward-deployed-engineer-infrastructure-specialist-public-532c7cd9", "title": "Forward Deployed Engineer, Infrastructure Specialist (Public Sector)", "company": "Cohere", "location": "", "source": "ashby", "sourceCompany": "cohere", "applyUrl": "https://jobs.ashbyhq.com/cohere/52a2b83b-7537-4e88-af7b-e4e9630a96e0", "descriptionHtml": "Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
About North:North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
Why This Role?Cohere’s team partners with Canadian public sector organisations to unlock transformative value through secure, ethical deployment of Generative AI (GenAI) solutions. We work collaboratively to address complex societal challenges while maintaining the highest standards of data security and compliance. You will work directly with public sector customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack.
This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors.
We are seeking engineers with diverse skill sets, including backend, infrastructure, agent development, and deployments, who deeply care about customers and want to work at the cutting edge of Agentic AI.
Location: Ottawa, 20-40% travel anticipated.
Security Clearance: Active Top Secret clearance strongly preferred; candidates eligible and willing to obtain clearance will also be considered.
More information about Canadian Security Clearance can be found here.
In this role, you will:
Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout.
Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices.
Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations
Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards.
Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime.
You may be a good fit if:
You have experience with and enjoy working directly with customers
You have experience deploying enterprise software in private/hybrid cloud environments
You have proven experience administering production Kubernetes clusters and expertise with Helm
Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control
You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization
You excel in fast-paced environments and can execute while priorities and objectives are a moving target
Familiarity with Canadian public sector security and compliance requirements (e.g., data sovereignty, access controls).
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
🤝 An open and inclusive culture and work environment
🧑💻 Work closely with a team on the cutting edge of AI research
🍽 Weekly lunch stipend, in-office lunches & snacks
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for up to 6 months
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
✈️ 6 weeks of vacation (30 working days!)
", "tags": [ "FDE", "deployment" ], "rawSourceId": "52a2b83b-7537-4e88-af7b-e4e9630a96e0", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/cohere/jobs/52a2b83b-7537-4e88-af7b-e4e9630a96e0", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "cohere-solutions-architect-098f6a3f", "title": "Solutions Architect", "company": "Cohere", "location": "Remote", "source": "ashby", "sourceCompany": "cohere", "applyUrl": "https://jobs.ashbyhq.com/cohere/67c4c05a-f7ab-48dc-a779-af835e2d36f1", "descriptionHtml": "Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
Why this role?
In this role as the founding Solutions Architect for Cohere in KSA, you will play an instrumental part in growing Cohere’s business in both Saudi Arabia and the wider GCC. You will partner with Account Executives, Partners, and our Executive Leadership Team to communicate and demonstrate the value of our technology to the market, and build on the success of our flagship customers, like STC.
Solution Architects (SAs) at Cohere sit at the cross-section of Forward Deployed Engineering and AI transformation. Our SAs embody the following traits:
Technical experts in the field
Trusted advisors to customers and colleagues
Product evangelists of Cohere technology
Thought leaders in pushing the frontiers of applied AI
Responsibilities include developing a deep understanding of customer problems, mapping them to Cohere solutions, and working closely with our partners as the trusted technical advisor who owns the technical relationship with our stakeholders. By leveraging your expertise, you will help to increase the adoption of Cohere products, both internally and externally, and will gather valuable insights and feedback from customers to help shape the future of our products.
In this dynamic and demanding role, you will need to be both a strategic thinker and a builder. You will personally lead the design and deployment of customer pilots that showcase the impact of our technology to strategic enterprise and government customers.
As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into our technical solutions. You will take ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team. Additionally, you will provide guidance on best practices for using Cohere, identify areas for improvement within the platform, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance our products.
A typical day at Cohere might include:
Leading the technical talk track on customer calls.
Designing enterprise architectures for North deployments.
Deep dives on customer queries and Cohere technology.
Facilitating customer evaluations and pilots.
Developing and documenting processes to enable the solutions architect team and adjacent teams to scale effectively within Cohere.
Collaborating with the Product and Engineering teams to ensure our offering matches the customers’ needs.
Working closely with our partners to develop a strategy for enabling and accelerating their customers.
This might be for you if you have some of the following:
5+ years of customer-facing technical pre/post sales Solutions Architect/Solutions Engineer/Sales Engineer/Digital Strategy Consultant (or similar) experience.
A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLMs and AI technologies.
Familiarity with foundational ML concepts (training, evaluation, etc.)
Excellent communication skills - you can toggle seamlessly between presenting to CEOs, and getting in the weeds with technical audiences.
Thrives within ambiguous and uncharted environments
You can identify and implement high-impact processes in unstructured environments.
Comfortable working with Python and Assistive Coding tools
Preferred: 2+ years architecting or deploying NLP/AI/LLM Solutions.
Preferred: Experience customising models for specific business/organizational objectives
Preferred: Experience architecting or deploying in cloud environments (AWS, GCP, Azure, OCI)
Must have: native-level Arabic
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
🤝 An open and inclusive culture and work environment
🧑💻 Work closely with a team on the cutting edge of AI research
🍽 Weekly lunch stipend, in-office lunches & snacks
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for up to 6 months
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
✈️ 6 weeks of vacation (30 working days!)
", "tags": [ "solutions-architect", "remote" ], "rawSourceId": "67c4c05a-f7ab-48dc-a779-af835e2d36f1", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/cohere/jobs/67c4c05a-f7ab-48dc-a779-af835e2d36f1", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "sierra-forward-deployed-infrastructure-engineer-651ea214", "title": "Forward Deployed Infrastructure Engineer", "company": "Sierra", "location": "", "salary": "$230K - $390K", "salaryMin": 230000, "salaryMax": 390000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "sierra", "applyUrl": "https://jobs.ashbyhq.com/sierra/d9c0aa93-e35d-4752-9cef-4c39dcad5365", "descriptionHtml": "About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
As a Forward Deployed Infrastructure Engineer at Sierra, and a founding member of this function, you will own the end-to-end lifecycle of customer deployments, while helping define how Sierra’s AI platform is deployed and operated across enterprise environments. You'll work directly with enterprise customers to architect, deploy, upgrade, and manage Sierra's AI platform infrastructure — ensuring every deployment meets their security, compliance, and operational requirements. In addition, you’ll establish the standards, tooling, and processes that make deployments scalable and repeatable, and partner cross-functionally with Engineering, Product, Sales, and Customer Success. This role will define how Sierra scales some of its most complex customer engagements.
Own deployment architecture conversations and execution — designing and implementing deployment strategies across customer environments, including VPC configuration, permissioning, networking, and infrastructure provisioning.
Manage the full infrastructure lifecycle for some of Sierra’s most critical customers: initial deployment, ongoing upgrades, scaling, and incident support.
Develop and maintain deployment runbooks, upgrade procedures, and automation tooling to make operations repeatable and reliable.
Partner with engineering teams to ensure Sierra's platform is deployable and operable across diverse customer requirements.
Work with customers' platform engineering, security, and DevOps teams to navigate their infrastructure constraints and compliance requirements.
Collaborate with Sales and Customer Success to scope infrastructure requirements during pre-sales and onboarding, translating customer needs into concrete deployment plans.
4+ years of experience in infrastructure, DevOps, platform engineering, or solutions architecture roles — with significant time spent on customer-facing deployment work.
Deep experience with AWS services, Terraform, container orchestration, and cloud networking (VPCs, IAM, DNS, load balancing).
Track record of managing deployments in customer-owned cloud environments, including navigating security reviews, compliance requirements, and change management processes.
Ability to navigate ambiguity with enterprise stakeholders — from platform engineers to CISOs — and turn infrastructure conversations into actionable deployment plans.
Strong operational instincts: you think about upgrades, rollbacks, monitoring, and failure modes from the start, not as an afterthought.
Comfortable working in a fast-moving environment and collaborating across engineering, product, and go-to-market teams.
Degree in Computer Science or a related field, or equivalent professional experience.
Hands-on experience with Go services, GraphQL APIs, or LLM infrastructure in production environments.
Past experience at an early-stage company where you built deployment operations, playbooks, and tooling.
Familiarity with observability and incident management in distributed systems (Prometheus, Grafana, Datadog, or similar).
Experience with CI/CD pipeline design, deployment automation, or infrastructure self-service tooling for enterprise customers.
Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
We want our benefits to reflect our values and offer the following to full-time employees:
Flexible (unlimited) paid time off
Medical, dental, and vision benefits for you and your family
Life insurance and disability benefits
Retirement plan dependent on country of employment
Parental leave
Fertility and family building benefits through Carrot
Lunch, as well as delicious snacks and coffee to keep you energized
Discretionary benefit stipend giving people the ability to spend where it matters most
Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
", "tags": [ "FDE", "deployment" ], "rawSourceId": "d9c0aa93-e35d-4752-9cef-4c39dcad5365", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/sierra/jobs/d9c0aa93-e35d-4752-9cef-4c39dcad5365", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "decagon-field-engineer-be4383cd", "title": "Field Engineer", "company": "Decagon", "location": "", "salary": "$240K - $280K", "salaryMin": 240000, "salaryMax": 280000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "decagon", "applyUrl": "https://jobs.ashbyhq.com/decagon/9ffd6359-d0ff-4ab6-b210-0fb05d2c459c", "descriptionHtml": "About Decagon
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.
We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.
We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.
About the Role
We are seeking a systems-minded engineer to design, prototype, and build the internal tooling, data infrastructure, and automated workflows that ensure User Operations remains seamlessly aligned with Product and Engineering, even as our product surface rapidly expands. This is a technical IC role focused on designing and shipping robust, scalable software—not managing projects or creating slide decks.
You'll create systems that power feedback loops, automate workflows, connect APIs, and deliver actionable insights, enabling our teams to move at the same pace as our innovative product organization.
In this role, you will
Coordinate product launches across internal User Operations teams and external partners to guarantee seamless execution and support readiness.
Architect launch‑readiness systems that streamline formerly manual processes, replacing ad‑hoc docs and meetings with automated workflows, dashboards, and alerting to build for scale.
Develop and implement scalable feedback loops between support, product, and engineering so customer insights are continuously integrated into product strategy.
Prototype quickly—leveraging ChatGPT, Jupyter notebooks, Retool, and other tools—to prove value before hardening with Engineering.
Collaborate cross‑functionally with Product, Engineering, Marketing, Legal, and Operations to align on launch goals, timelines, and readiness metrics.
Identify risks and challenges during rollouts, proposing solutions that safeguard customer experience and service levels.
Continuously automate, replacing every repetitive touchpoint with scripts, agents, or LLM‑powered flows.
Your background looks something like this
Have 4+ years experience in project launch coordination, especially within a customer support environment (internal and/or external).
Write production-grade code in Python, SQL, or similar languages.
Enjoy developing internal tools, workflow engines, and lightweight platforms.
Understand and operationalize GTM workflows through thoughtful systems design.
Are comfortable navigating ambiguity and collaborating cross-functionally.
Prioritize exceptional user experiences for internal systems just as highly as customer-facing products.
Benefits
We proudly offer the following benefits for our full-time employees:
Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)
Medical, Dental, and Vision benefits for you and your family
Life Insurance and Disability Benefits
Retirement Plan (e.g., 401K, pension)
Parental Leave
Fertility and family building benefits through Carrot
Daily lunches and snacks in the office to keep you at your best
These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.
", "tags": [ "field-engineer" ], "rawSourceId": "9ffd6359-d0ff-4ab6-b210-0fb05d2c459c", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/decagon/jobs/9ffd6359-d0ff-4ab6-b210-0fb05d2c459c", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "decagon-founder-s-office-applied-ai-8f250195", "title": "Founder's Office, Applied AI", "company": "Decagon", "location": "", "salary": "$185K - $235K", "salaryMin": 185000, "salaryMax": 235000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "decagon", "applyUrl": "https://jobs.ashbyhq.com/decagon/c2ea9bd2-7a20-4fbb-b301-5e587415baeb", "descriptionHtml": "About Decagon
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.
We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.
We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.
About the Team
Founder’s Office is where the hardest problems land, and we help solve them for the entire business. We are a small team of former founders, operators, and investors embedded directly with leadership, taking on work of any kind, no matter how different or unique, to improve business operations. Strategy, corporate development, pricing, special projects, and analytics are a few examples. We are analytical and critical cross-functional thinkers from a diverse set of multidisciplinary backgrounds. If it is ambiguous, urgent, or high-stakes, we are probably already thinking about it.
About the Role
We are looking for someone to help us accelerate AI adoption across every facet of the company.
You’ll wear many different hats across automation, tooling, analytics, operations, and workflow design. We believe in building quickly, iterating fast, and solving real operational problems with AI.
This role is intentionally broad and highly execution-oriented. The people who thrive here tend to enjoy solving ambiguous operational problems with AI, automation, data, and lightweight tooling - rather than specializing deeply in one engineering domain.
This is a fully in-office role based in our San Francisco office 5 days a week.
In this role, you will
Build AI automation agents to make us efficient: design and deploy agents that translate company strategy and operational processes, into automated workflows, custom internal tools, and programmatic systems. Specifically: help automate manual sales processes, embed AI into growth marketing engines, maximize Claude skills in the post-sales org, and more. Unlock hundreds of Decagon teammates with their “aha” moment of your product.
Build out intelligent solutions to make us more effective: build out an account mapping platform that helps sales and marketing identify the best individuals to target and break into accounts with. Leverage scrapers, search APIs, workflow automation tools, and LLMs to do this effectively, and efficiently.
Be the AI Culture Driver: build an AI-native culture for the entire business, by identifying and enabling internal “AI champions,” and builders. Programmatically define templates and best practices into team norms. Turn them into people who can’t live without the automation and will be very unhappy if it is taken away.
Build out AI analytics: measure success by going deep into data, specifically around number of hours saved, and additional work delivered as a result of our efficiency and effectiveness gains. Become customer obsessed - customers being our internal stakeholders - and measure their happiness using our tools.
Your background looks something like this
Experience: 1-3 years in a high growth technical environment. Roles that are inherently self-starters, entrepreneurial, or technical are also great fits, looking to make the switch into this new and emerging critical function for all companies.
AI prompting foundations: some experience in some form with AI enablement, AI operations, or AI engineering roles. You are generally comfortable prompting your way to solutions, and sometimes needing to get into code / working with APIs, etc.
Builder DNA: you are a curious learner and builder, skilled with new AI tools like Claude Code, Cursor, Notion AI, automation tools like Dust, Gumloop, n8n, Zapier, GTM enrichments like Clay and Unify, and search APIs like Exa, Parallel, Browserbase. Some familiarity with SQL, BI, managing data lakehouses, and scraping and scripting from DS notebooks, is a plus.
Get it done mentality: a bias toward action and building \"v1 MVP\" today. You thrive in the ambiguity of a fast-paced AI startup.
Strong communications: you can produce clear, concise presentation of information, and influence teams to use your products. You run training sessions that drive impact through leadership and communications, in every gap you find.
Ability to manage cross-functional teams: able to work hands-on in workflows across Sales, Post-Sales, Finance, People/HR, Ops, BizOps, Marketing, EPD, and more. It’s OK if you haven’t done it before.
Compensation:
$185,000 - $235,000 + Equity
Benefits
We proudly offer the following benefits for our full-time employees:
Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)
Medical, Dental, and Vision benefits for you and your family
Life Insurance and Disability Benefits
Retirement Plan (e.g., 401K, pension)
Parental Leave
Fertility and family building benefits through Carrot
Daily lunches and snacks in the office to keep you at your best
These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.
", "tags": [ "applied-AI" ], "rawSourceId": "c2ea9bd2-7a20-4fbb-b301-5e587415baeb", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/decagon/jobs/c2ea9bd2-7a20-4fbb-b301-5e587415baeb", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "writer-ai-deployment-engineer-uk-b8433fea", "title": "AI deployment engineer (UK)", "company": "Writer", "location": "Remote", "source": "ashby", "sourceCompany": "writer", "applyUrl": "https://jobs.ashbyhq.com/writer/f2d02ca2-a915-434a-ace0-1a93d2111716", "descriptionHtml": "🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.
Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.
📐 About the roleAs a deployment engineer at WRITER, you'll be at the forefront of expanding human capacity through superintelligence. This isn't just a technical role; it's a deeply influential one where you'll partner directly with our leading enterprise customers. Your expertise will be crucial in uncovering their unique business challenges and architecting AI-powered solutions that leverage our powerful platform and enterprise-grade LLMs. You'll transform complex needs into tangible, high-impact applications, creating champions and driving tangible business results. Your builder's mentality and passion for bringing cutting-edge AI into the hands of real users will directly shape the future of work for some of the world's largest companies.
This is a critical role that directly impacts our customers' success and product evolution. You'll contribute significantly to WRITER's mission, working with a dynamic team to push the boundaries of what's possible with generative AI.
This is a hybrid role based out of London hub.
🦸🏻♀️ What you'll doPartner deeply with enterprise customers to identify strategic AI use cases, validating technical feasibility and owning the end-to-end implementation of tailored solutions
Architect and deliver custom applications, templates, and integrations leveraging WRITER's platform, APIs, and Knowledge Graph capabilities to solve complex business challenges
Translate intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations, guiding customers through the generative AI landscape
Collaborate relentlessly with internal Product and Engineering teams, providing crucial customer feedback that directly influences our product roadmap and drives continuous innovation
Drive down customer time-to-value by developing scalable processes, robust documentation, and efficient workflows for technical integrations
Champion the successful adoption and expansion of WRITER's AI solutions within customer accounts, ensuring maximum impact and return on investment
Over 5 years of hands-on experience in technical SaaS roles, with at least 3 years specifically in solutions architecture, technical consulting, or technical account management
Deep technical fluency in Python and extensive experience leveraging APIs, especially in designing sophisticated prompts and understanding linguistic principles for AI applications
Proven track record of architecting and delivering complex technical solutions for Fortune 500 enterprises in a fast-paced, high-growth B2B SaaS environment
Exceptional communication and executive presence, capable of simplifying complex AI concepts for diverse audiences, from technical teams to C-suite leadership
A true builder's mindset with a passion for emerging technologies, always eager to experiment, learn, and iterate in the rapidly evolving world of generative AI
A relentless drive to Connect with customers and internal teams, Challenge the status status quo with innovative solutions, and Own the successful outcomes for our most strategic accounts
🍩 Benefits & perks (UK full-time employees):
Generous PTO, plus company holidays
Comprehensive medical and dental insurance
Paid parental leave for all parents (16 weeks)
Fertility and family planning support
Early-detection cancer testing through Galleri
Competitive pension scheme and company contribution
Annual work-life stipends for:
Wellness stipend for gym, massage/chiropractor, personal training, etc.
Learning and development stipend
Company-wide off-sites and team off-sites
Competitive compensation and company stock options
WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.
Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.
📐 About the roleAs a deployment engineer at WRITER, you'll be at the forefront of expanding human capacity through superintelligence. This isn't just a technical role; it's a deeply influential one where you'll partner directly with our leading enterprise customers. Your expertise will be crucial in uncovering their unique business challenges and architecting AI-powered solutions that leverage our powerful platform and enterprise-grade LLMs. You'll transform complex needs into tangible, high-impact applications, creating champions and driving tangible business results. Your builder's mentality and passion for bringing cutting-edge AI into the hands of real users will directly shape the future of work for some of the world's largest companies.
This is a critical role that directly impacts our customers' success and product evolution. You'll contribute significantly to WRITER's mission, working with a dynamic team to push the boundaries of what's possible with generative AI.
This is a hybrid role based out of our San Francisco, Seattle, Chicago, Austin, and New York City hubs.
🦸🏻♀️ What you'll doPartner deeply with enterprise customers to identify strategic AI use cases, validating technical feasibility and owning the end-to-end implementation of tailored solutions
Architect and deliver custom applications, templates, and integrations leveraging WRITER's platform, APIs, and Knowledge Graph capabilities to solve complex business challenges
Translate intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations, guiding customers through the generative AI landscape
Collaborate relentlessly with internal Product and Engineering teams, providing crucial customer feedback that directly influences our product roadmap and drives continuous innovation
Drive down customer time-to-value by developing scalable processes, robust documentation, and efficient workflows for technical integrations
Champion the successful adoption and expansion of WRITER's AI solutions within customer accounts, ensuring maximum impact and return on investment
Over 5 years of hands-on experience in technical SaaS roles, with at least 3 years specifically in solutions architecture, technical consulting, or technical account management
Deep technical fluency in Python and extensive experience leveraging APIs, especially in designing sophisticated prompts and understanding linguistic principles for AI applications
Proven track record of architecting and delivering complex technical solutions for Fortune 500 enterprises in a fast-paced, high-growth B2B SaaS environment
Exceptional communication and executive presence, capable of simplifying complex AI concepts for diverse audiences, from technical teams to C-suite leadership
A true builder's mindset with a passion for emerging technologies, always eager to experiment, learn, and iterate in the rapidly evolving world of generative AI
A relentless drive to Connect with customers and internal teams, Challenge the status status quo with innovative solutions, and Own the successful outcomes for our most strategic accounts
🍩 Benefits & perks (US Full-time employees)
Generous PTO, plus company holidays
Medical, dental, and vision coverage for you and your family
Paid parental leave for all parents (16 weeks)
Fertility and family planning support
Early-detection cancer testing through Galleri
Flexible spending account and dependent FSA options
Health savings account for eligible plans with company contribution
Annual work-life stipends for:
Wellness stipend for gym, massage/chiropractor, personal training, etc.
Learning and development stipend
Company-wide off-sites and team off-sites
Competitive compensation, company stock options and 401k
WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.
", "tags": [ "deployment", "remote" ], "rawSourceId": "ee8e4914-8b56-40c1-97eb-fc530c123d30", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/writer/jobs/ee8e4914-8b56-40c1-97eb-fc530c123d30", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "writer-ai-deployment-engineer-central-885b731f", "title": "AI deployment engineer (Central)", "company": "Writer", "location": "Remote", "salary": "$131.8K - $166K", "salaryMin": 131800, "salaryMax": 166000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "writer", "applyUrl": "https://jobs.ashbyhq.com/writer/a9bff2f8-2443-47fa-8aa5-529026eb268c", "descriptionHtml": "🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.
Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.
📐 About the roleAs a deployment engineer at WRITER, you'll be at the forefront of expanding human capacity through superintelligence. This isn't just a technical role; it's a deeply influential one where you'll partner directly with our leading enterprise customers. Your expertise will be crucial in uncovering their unique business challenges and architecting AI-powered solutions that leverage our powerful platform and enterprise-grade LLMs. You'll transform complex needs into tangible, high-impact applications, creating champions and driving tangible business results. Your builder's mentality and passion for bringing cutting-edge AI into the hands of real users will directly shape the future of work for some of the world's largest companies.
This is a critical role that directly impacts our customers' success and product evolution. You'll contribute significantly to WRITER's mission, working with a dynamic team to push the boundaries of what's possible with generative AI.
This is a hybrid role based out of our San Francisco, Chicago, Austin, and New York City hubs.
🦸🏻♀️ What you'll doPartner deeply with enterprise customers to identify strategic AI use cases, validating technical feasibility and owning the end-to-end implementation of tailored solutions
Architect and deliver custom applications, templates, and integrations leveraging WRITER's platform, APIs, and Knowledge Graph capabilities to solve complex business challenges
Translate intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations, guiding customers through the generative AI landscape
Collaborate relentlessly with internal Product and Engineering teams, providing crucial customer feedback that directly influences our product roadmap and drives continuous innovation
Drive down customer time-to-value by developing scalable processes, robust documentation, and efficient workflows for technical integrations
Champion the successful adoption and expansion of WRITER's AI solutions within customer accounts, ensuring maximum impact and return on investment
Over 5 years of hands-on experience in technical SaaS roles, with at least 3 years specifically in solutions architecture, technical consulting, or technical account management
Deep technical fluency in Python and extensive experience leveraging APIs, especially in designing sophisticated prompts and understanding linguistic principles for AI applications
Proven track record of architecting and delivering complex technical solutions for Fortune 500 enterprises in a fast-paced, high-growth B2B SaaS environment
Exceptional communication and executive presence, capable of simplifying complex AI concepts for diverse audiences, from technical teams to C-suite leadership
A true builder's mindset with a passion for emerging technologies, always eager to experiment, learn, and iterate in the rapidly evolving world of generative AI
A relentless drive to Connect with customers and internal teams, Challenge the status status quo with innovative solutions, and Own the successful outcomes for our most strategic accounts
🍩 Benefits & perks (US Full-time employees)
Generous PTO, plus company holidays
Medical, dental, and vision coverage for you and your family
Paid parental leave for all parents (16 weeks)
Fertility and family planning support
Early-detection cancer testing through Galleri
Flexible spending account and dependent FSA options
Health savings account for eligible plans with company contribution
Annual work-life stipends for:
Wellness stipend for gym, massage/chiropractor, personal training, etc.
Learning and development stipend
Company-wide off-sites and team off-sites
Competitive compensation, company stock options and 401k
WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.
", "tags": [ "deployment", "remote" ], "rawSourceId": "a9bff2f8-2443-47fa-8aa5-529026eb268c", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/writer/jobs/a9bff2f8-2443-47fa-8aa5-529026eb268c", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "writer-ai-deployment-engineer-east-90776942", "title": "AI deployment engineer (East)", "company": "Writer", "location": "Remote", "salary": "$146.4K - $185K", "salaryMin": 146400, "salaryMax": 185000, "salaryCurrency": "USD", "source": "ashby", "sourceCompany": "writer", "applyUrl": "https://jobs.ashbyhq.com/writer/e86dd425-0711-4a28-af87-355f4a83b7bc", "descriptionHtml": "🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.
Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.
📐 About the roleAs a deployment engineer at WRITER, you'll be at the forefront of expanding human capacity through superintelligence. This isn't just a technical role; it's a deeply influential one where you'll partner directly with our leading enterprise customers. Your expertise will be crucial in uncovering their unique business challenges and architecting AI-powered solutions that leverage our powerful platform and enterprise-grade LLMs. You'll transform complex needs into tangible, high-impact applications, creating champions and driving tangible business results. Your builder's mentality and passion for bringing cutting-edge AI into the hands of real users will directly shape the future of work for some of the world's largest companies.
This is a critical role that directly impacts our customers' success and product evolution. You'll contribute significantly to WRITER's mission, working with a dynamic team to push the boundaries of what's possible with generative AI.
This is a hybrid role based out of our San Francisco, Chicago, Austin, and New York City hubs.
🦸🏻♀️ What you'll doPartner deeply with enterprise customers to identify strategic AI use cases, validating technical feasibility and owning the end-to-end implementation of tailored solutions
Architect and deliver custom applications, templates, and integrations leveraging WRITER's platform, APIs, and Knowledge Graph capabilities to solve complex business challenges
Translate intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations, guiding customers through the generative AI landscape
Collaborate relentlessly with internal Product and Engineering teams, providing crucial customer feedback that directly influences our product roadmap and drives continuous innovation
Drive down customer time-to-value by developing scalable processes, robust documentation, and efficient workflows for technical integrations
Champion the successful adoption and expansion of WRITER's AI solutions within customer accounts, ensuring maximum impact and return on investment
Over 5 years of hands-on experience in technical SaaS roles, with at least 3 years specifically in solutions architecture, technical consulting, or technical account management
Deep technical fluency in Python and extensive experience leveraging APIs, especially in designing sophisticated prompts and understanding linguistic principles for AI applications
Proven track record of architecting and delivering complex technical solutions for Fortune 500 enterprises in a fast-paced, high-growth B2B SaaS environment
Exceptional communication and executive presence, capable of simplifying complex AI concepts for diverse audiences, from technical teams to C-suite leadership
A true builder's mindset with a passion for emerging technologies, always eager to experiment, learn, and iterate in the rapidly evolving world of generative AI
A relentless drive to Connect with customers and internal teams, Challenge the status status quo with innovative solutions, and Own the successful outcomes for our most strategic accounts
🍩 Benefits & perks (US Full-time employees)
Generous PTO, plus company holidays
Medical, dental, and vision coverage for you and your family
Paid parental leave for all parents (16 weeks)
Fertility and family planning support
Early-detection cancer testing through Galleri
Flexible spending account and dependent FSA options
Health savings account for eligible plans with company contribution
Annual work-life stipends for:
Wellness stipend for gym, massage/chiropractor, personal training, etc.
Learning and development stipend
Company-wide off-sites and team off-sites
Competitive compensation, company stock options and 401k
WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.
", "tags": [ "deployment", "remote" ], "rawSourceId": "e86dd425-0711-4a28-af87-355f4a83b7bc", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/writer/jobs/e86dd425-0711-4a28-af87-355f4a83b7bc", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "cursor-field-engineer-ea39941b", "title": "Field Engineer", "company": "Cursor", "location": "", "source": "ashby", "sourceCompany": "cursor", "applyUrl": "https://jobs.ashbyhq.com/cursor/64a6cb18-493b-4d18-9f22-c661ae533bfa", "descriptionHtml": "Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.
About the RoleWe’re hiring Field Engineers to partner with prospective and strategic enterprise customers. As a Field Engineer, you’ll be the technical face of Anysphere in the field — helping customers evaluate Cursor, guiding them through proofs of concept, and ensuring they see the full value of AI in their engineering workflows.
You’ll work hand-in-hand with Sales, Product, and Engineering to scope solutions, demonstrate capabilities, and act as a trusted advisor to technical stakeholders. This is a highly customer-facing role where you’ll combine deep technical fluency with strong communication skills to drive adoption and influence product direction.
What you’ll doPartner with Account Executives to lead technical discovery, demos, and proof-of-concept engagements.
Build trusted relationships with engineering leaders, architects, and developers, serving as their technical advisor.
Translate customer requirements into solution designs, guiding them on best practices for rollout, prompt strategy, and context configuration.
Develop and deliver technical presentations, whiteboard sessions, and hands-on workshops tailored to customer needs.
Act as the customer’s technical advocate internally, influencing roadmap priorities and escalating feedback to Product and Engineering.
Collaborate with post-sales teams to ensure a smooth handoff and successful customer onboarding.
Maintain deep knowledge of Cursor’s capabilities and competitive landscape to position our value effectively.
Support strategic account planning and help drive expansion opportunities with technical validation.
Strong communication skills and executive presence — equally comfortable coding alongside developers or presenting to CTOs.
Deep understanding of the software development lifecycle, modern engineering org structures, and developer productivity challenges.
Hands-on technical ability — you don’t need to be a full-time engineer, but you should be fluent in technical workflows, AI tooling, and debugging complex environments.
Customer-obsessed with a knack for translating technical details into business impact.
Experience in Field Engineering, Solutions Architecture, Pre-Sales, or Consulting for enterprise software.
Thrives in a startup environment: resourceful, adaptable, and proactive in creating solutions.
If there appears to be a fit, we’ll reach out to schedule 2–3 short technical conversations. After, we’ll arrange an onsite visit to our office, where you’ll work on a small project, discuss ideas, and meet the team.
", "tags": [ "field-engineer" ], "rawSourceId": "64a6cb18-493b-4d18-9f22-c661ae533bfa", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/cursor/jobs/64a6cb18-493b-4d18-9f22-c661ae533bfa", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "cursor-forward-deployed-engineer-4202e68f", "title": "Forward Deployed Engineer", "company": "Cursor", "location": "", "source": "ashby", "sourceCompany": "cursor", "applyUrl": "https://jobs.ashbyhq.com/cursor/34cecd0c-c392-4454-8ef5-261310541011", "descriptionHtml": "Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.
Forward Deployed Engineers embed directly with customer engineering teams to ship production-grade Cursor workflows that measurably improve how they build software.
You’ll figure out what’s actually slowing a team down, design a practical solution, and own it end-to-end — from first discovery call through launch, iteration, and post-production support. This is not a demo role. You are responsible for systems that work in the real world.
What you’ll doLead discovery with customer engineers to identify the real bottleneck and define clear success metrics
Design and build Cursor-powered workflows (e.g., large-scale refactors, migrations, PR review loops, incident → fix pipelines, spec → implementation systems)
Ship a fast first version in days, then harden it into something reliable over weeks with proper rollout plans, monitoring, and iteration based on real usage
Own production quality: tracing, evals, metrics, debugging model behavior, latency/cost tradeoffs, and failure modes
Work directly with Staff+/Platform/Eng leaders — going deep in code while also communicating clearly about tradeoffs and results
Turn what you build into reusable patterns and push improvements back into the core Cursor product
You thrive in ambiguity and can turn fuzzy problems into clear scopes and shipped systems.
You’ve built and owned AI-native workflows in production — not just prototypes — and have debugged real-world model failures
You’re comfortable leading discovery conversations and being accountable for customer outcomes
You build end-to-end. If it needs frontend, backend, infra, or prompt iteration, you’ll own it
You’ve handled production reliability before (metrics, alerts, safe rollouts, incident response)
You’re strong in Python and TypeScript/JavaScript and can ramp quickly on new stacks
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.
About the RoleWe’re hiring Solution Architects to help the world’s best engineering organizations figure out what AI-native software development actually looks like in production.
This is a deeply technical, post-sale role embedded inside Cursor’s most strategic enterprise accounts. You’ll work directly with engineering teams to roll out high-impact workflows, accelerate adoption, and help organizations fundamentally rethink how software gets built with AI.
Solution Architects sit at the center of long-term customer transformation. You’ll help customers move from initial excitement to deeply integrating engineering workflows that teams rely on every day. That means understanding how modern software organizations operate, identifying where Cursor can create the most leverage, and helping customers scale adoption across teams, platforms, and workflows over time.
This role is highly hands-on. You’ll configure environments, design workflows, run enablement sessions, and solve technical problems directly with developers and platform teams inside complex enterprise environments. You’ll also help engineering leaders think through rollout strategy, workflow evolution, and the long-term architecture for AI-native development.
The best Solution Architects combine deep technical credibility with strong product instincts, high ownership, and the ability to influence how large engineering organizations evolve. Solution Architects are also equally comfortable debugging CI workflows, leading architecture reviews, and helping executives understand where AI changes the economics of software development.
What You’ll DoHelp Engineering Teams Adopt AI-Native DevelopmentRoll out Cursor across strategic engineering organizations.
Configure environments, design workflows, and run hands-on enablement sessions.
Help developers integrate Cursor into real production workflows — not isolated demos.
Drive fast time-to-value and durable adoption across teams.
Identify workflow friction and solve problems quickly.
Identify where Cursor should expand next inside the customer environment.
Help engineering organizations evolve from isolated usage to company-wide adoption.
Design rollout strategies for new workflows, teams, and platform groups.
Partner with customers to operationalize AI-assisted development at scale.
Work closely with Account Executives during major expansion moments.
Build deep relationships with developers, platform teams, engineering leadership, and executive stakeholders.
Lead architecture reviews, technical working sessions, and strategic planning discussions.
Advise customers on developer productivity, workflow design, governance, and AI adoption strategy.
Coordinate across Sales, Product, Engineering, and Customer Success to unblock customer progress.
Help organizations navigate workflow and operational change as AI-native development evolves.
Help customers translate adoption into measurable engineering impact.
Connect Cursor usage to outcomes like faster iteration cycles, improved developer productivity, workflow efficiency, and engineering quality.
Help customers communicate the value of Cursor internally and build momentum for broader adoption.
Turn successful deployments into repeatable workflow patterns across the organization.
Deepen workflow adoption and long-term product stickiness.
Monitor competitive risk and help customers standardize on Cursor over time.
Support recovery plans when adoption slows or competing tools gain traction.
Help customers build workflows they can’t imagine operating without.
Bring structured feedback from strategic customers into Product and Engineering.
Identify emerging workflow patterns, friction points, and enterprise requirements.
Help shape new capabilities through lighthouse customers and design partnerships.
Turn successful customer workflows into reusable playbooks and reference patterns.
Strong technical background in software engineering, infrastructure, DevOps, platform engineering, or developer tooling.
Experience in customer-facing technical roles such as Solution Architect, Solutions Engineer, Forward Deployed Engineer, Technical Account Manager, Enterprise Architect, or similar.
Ability to work hands-on with engineering teams while also operating strategically with technical leadership.
Strong understanding of developer workflows, SDLC tooling, integrations, CI/CD systems, governance, and enterprise engineering environments.
Excellent communication skills and the ability to explain complex technical concepts clearly across both technical and executive audiences.
Strong instincts around workflow design, adoption strategy, and driving workflow change across engineering teams.
High ownership, strong execution skills, and comfort operating in fast-moving environments with ambiguity.
Passion for developer tooling and strong conviction around how AI will reshape software engineering.
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.
About the RoleWe’re hiring Field Engineers to partner with prospective and strategic enterprise customers. As a Field Engineer, you’ll be the technical face of Anysphere in the field — helping customers evaluate Cursor, guiding them through proofs of concept, and ensuring they see the full value of AI in their engineering workflows.
You’ll work hand-in-hand with Sales, Product, and Engineering to scope solutions, demonstrate capabilities, and act as a trusted advisor to technical stakeholders. This is a highly customer-facing role where you’ll combine deep technical fluency with strong communication skills to drive adoption and influence product direction.
What you’ll doPartner with Account Executives to lead technical discovery, demos, and proof-of-concept engagements.
Build trusted relationships with engineering leaders, architects, and developers, serving as their technical advisor.
Translate customer requirements into solution designs, guiding them on best practices for rollout, prompt strategy, and context configuration.
Develop and deliver technical presentations, whiteboard sessions, and hands-on workshops tailored to customer needs.
Act as the customer’s technical advocate internally, influencing roadmap priorities and escalating feedback to Product and Engineering.
Collaborate with post-sales teams to ensure a smooth handoff and successful customer onboarding.
Maintain deep knowledge of Cursor’s capabilities and competitive landscape to position our value effectively.
Support strategic account planning and help drive expansion opportunities with technical validation.
Strong communication skills and executive presence — equally comfortable coding alongside developers or presenting to CTOs.
Deep understanding of the software development lifecycle, modern engineering org structures, and developer productivity challenges.
Hands-on technical ability — you don’t need to be a full-time engineer, but you should be fluent in technical workflows, AI tooling, and debugging complex environments.
Customer-obsessed with a knack for translating technical details into business impact.
Experience in Field Engineering, Solutions Architecture, Pre-Sales, or Consulting for enterprise software.
Thrives in a startup environment: resourceful, adaptable, and proactive in creating solutions.
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.
About the RoleWe’re hiring Solution Architects to help the world’s best engineering organizations figure out what AI-native software development actually looks like in production.
This is a deeply technical, post-sale role embedded inside Cursor’s most strategic enterprise accounts. You’ll work directly with engineering teams to roll out high-impact workflows, accelerate adoption, and help organizations fundamentally rethink how software gets built with AI.
Solution Architects sit at the center of long-term customer transformation. You’ll help customers move from initial excitement to deeply integrating engineering workflows that teams rely on every day. That means understanding how modern software organizations operate, identifying where Cursor can create the most leverage, and helping customers scale adoption across teams, platforms, and workflows over time.
This role is highly hands-on. You’ll configure environments, design workflows, run enablement sessions, and solve technical problems directly with developers and platform teams inside complex enterprise environments. You’ll also help engineering leaders think through rollout strategy, workflow evolution, and the long-term architecture for AI-native development.
The best Solution Architects combine deep technical credibility with strong product instincts, high ownership, and the ability to influence how large engineering organizations evolve. Solution Architects are also equally comfortable debugging CI workflows, leading architecture reviews, and helping executives understand where AI changes the economics of software development.
What You’ll DoHelp Engineering Teams Adopt AI-Native DevelopmentRoll out Cursor across strategic engineering organizations.
Configure environments, design workflows, and run hands-on enablement sessions.
Help developers integrate Cursor into real production workflows — not isolated demos.
Drive fast time-to-value and durable adoption across teams.
Identify workflow friction and solve problems quickly.
Identify where Cursor should expand next inside the customer environment.
Help engineering organizations evolve from isolated usage to company-wide adoption.
Design rollout strategies for new workflows, teams, and platform groups.
Partner with customers to operationalize AI-assisted development at scale.
Work closely with Account Executives during major expansion moments.
Build deep relationships with developers, platform teams, engineering leadership, and executive stakeholders.
Lead architecture reviews, technical working sessions, and strategic planning discussions.
Advise customers on developer productivity, workflow design, governance, and AI adoption strategy.
Coordinate across Sales, Product, Engineering, and Customer Success to unblock customer progress.
Help organizations navigate workflow and operational change as AI-native development evolves.
Help customers translate adoption into measurable engineering impact.
Connect Cursor usage to outcomes like faster iteration cycles, improved developer productivity, workflow efficiency, and engineering quality.
Help customers communicate the value of Cursor internally and build momentum for broader adoption.
Turn successful deployments into repeatable workflow patterns across the organization.
Deepen workflow adoption and long-term product stickiness.
Monitor competitive risk and help customers standardize on Cursor over time.
Support recovery plans when adoption slows or competing tools gain traction.
Help customers build workflows they can’t imagine operating without.
Bring structured feedback from strategic customers into Product and Engineering.
Identify emerging workflow patterns, friction points, and enterprise requirements.
Help shape new capabilities through lighthouse customers and design partnerships.
Turn successful customer workflows into reusable playbooks and reference patterns.
Strong technical background in software engineering, infrastructure, DevOps, platform engineering, or developer tooling.
Experience in customer-facing technical roles such as Solution Architect, Solutions Engineer, Forward Deployed Engineer, Technical Account Manager, Enterprise Architect, or similar.
Ability to work hands-on with engineering teams while also operating strategically with technical leadership.
Strong understanding of developer workflows, SDLC tooling, integrations, CI/CD systems, governance, and enterprise engineering environments.
Excellent communication skills and the ability to explain complex technical concepts clearly across both technical and executive audiences.
Strong instincts around workflow design, adoption strategy, and driving workflow change across engineering teams.
High ownership, strong execution skills, and comfort operating in fast-moving environments with ambiguity.
Passion for developer tooling and strong conviction around how AI will reshape software engineering.
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.
About the role
As the Regional Vice President (RVP) of Solution Architecture, you will build and lead an elite, post-sales technical organization for our highest-value enterprise customers. The team is a core part of GTM with the mandate of transforming Cursor's strategic accounts into compounding growth engines by driving seamless deployment, accelerating adoption, and establishing robust competitive moats.
In this second-line leadership position, you will manage first-line managers and senior Solution Architects, ensuring a relentless focus on long-term architecture, complex workflow design, and sustained value realization. You will also operate as a key executive sponsor, routinely engaging with CTOs, VPs of Engineering, and platform owners to shape long-term technology partnerships.
What you’ll do
Lead and scale a regional organization of Solution Architects, guiding your team to maximize post-sale impact within enterprise accounts.
Partner with Sales, AI Deployment Managers (ADM), Field Engineering, and Forward Deployed Engineers (FDE) to build a joint operating model, ensuring seamless transitions from pre-sales evaluations to long-term technical success.
Champion critical executive relationships, directly influencing the technical roadmaps of platform leaders and C-suite executives to drive account expansion.
Own and uphold a rigorous team standard, running calibration disciplines to build a top-tier technical organization.
Develop repeatable frameworks, deployment playbooks, and standardized procedures for advanced workflow design and adoption.
Channel regional field intelligence into structured, actionable feedback for Product and Engineering teams to continuously shape the platform's future.
You may be a fit if
5+ years experience leading customer-facing technical teams (Solution Architects, Sales Engineers, Solutions Consultants, or post-sale architects) in enterprise software.
Ability to drive Go-To-Market strategies in enterprise software (ideally developer-related tools, infrastructure, AI, or security platforms).
Proven ability to move fluidly between intricate architectural decisions and multi-year, strategic account roadmaps.
Exceptional communication skills, adept at navigating high-stakes environments and negotiating technical strategy with C-suite engineering leaders.
Entrepreneurial spirit with a passion for designing scalable processes and structures from scratch within fast-paced environments with lots of ambiguity.
Track record of recruiting and retaining high-caliber technical talent at scale without compromising quality.
Willingness to travel to customers needed.
Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work feels faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, humanity, and building things that last — not just shipping the next feature, but setting a standard for how modern teams (with humans and agents working together) think and execute.
About The RoleAs a Forward Deployed Engineer within Go-To-Market, you will lead complex customer engineering engagements from end to end, spanning large-scale migrations, integrating Notion with third party systems and tools, and production AI/agentic deployments.
You’ll embed with enterprise customers to design and build solutions that integrate Notion deeply into their technical and operational environments. This includes writing and maintaining custom code, designing and deploying production-grade custom agents and AI workflows with MCP, Agent APIs, and Notion’s automation and execution infrastructure, building data pipelines, and resolving complex challenges around scale, permissions, and governance.
Your work as a customer-facing engineer will help shape best practices for how we support complex customer needs and ensure Notion’s platform is ready for scale.
What You'll AchieveOwn the hands-on technical delivery of customer engagements, including deep technical discovery, requirements gathering, solution design, and end to end implementation.
Act as a trusted technical advisor, helping customers make informed architectural decisions and identify opportunities to expand and deepen their use of Notion.
Design, build, and operate custom agents, integrations, automations, and data pipelines that connect Notion with customers’ systems and workflows.
Lead the design and execution of large-scale content and data migrations, including discovery, scoping, data modeling, transformation logic, validation, and post-migration optimization.
Work closely with client stakeholders to gather business and technical requirements and translate them into well-architected solutions that maximize the value of the Notion platform within their broader technical ecosystem.
Design and build customer integrations, automations, and custom tooling as a part of Notion implementations.
Design and operate feedback loops with Product, CX, and Engineering, translating real-world implementation challenges into actionable insights, technical requirements, and tooling improvements that directly influence Notion’s Product Roadmap and our Customers
Build foundational discovery frameworks, technical standards, and internal tooling that define how Services delivers complex migrations and implementations at scale.
Contribute to the evolution of the Services team by developing repeatable methodologies, scoping artifacts, internal tooling, and contributing best practices as the team and customer footprint grow.
4+ years of experience in a customer-facing engineering role, forward deployed engineering, or similar role, preferably in a SaaS or enterprise software environment.
Proficiency in at least one programming language such as Java, JavaScript, Node.js, SQL, or Python and comfort with writing production-quality code in customer-facing or internal engineering contexts.
Hands-on experience with APIs and data integration.
Strong written and verbal communication skills, with the ability to engage both technical and business audiences effectively.
A track record of delivering customer value by translating technical challenges into solutions that drive value for customers at scale.
Experience working in SaaS professional services, preferably in a startup or high-growth environment.
Experience deploying AI agents autonomously in complex coding or business workflows.
Background in developing technical frameworks, discovery methodologies, or internal tooling from the ground up.
Strong history of collaboration with product and engineering teams, including influencing roadmaps or architectural decisions.
Experience supporting pre-sales or early engagement phases, including technical discovery, migration scoping, feasibility analysis, effort estimation, and building prototypes or custom scripts to validate approaches.
Strong track record of successful enterprise customer implementations.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated range for total on target earnings (including base salary and on target incentive pay) for this role is $175,000 - $240,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy and NYLL 144. #LI-Onsite
A Note on AIYou don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we’ll make it explicit in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, move faster, and build more creatively.
Equal Opportunity & AccommodationsWe hire talented and passionate people from a variety of backgrounds because we want our teams to reflect the wide diversity of our customers. If you’re excited about a role but your experience doesn’t align perfectly with every bullet point listed, we still encourage you to apply.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
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Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, humanity, and building things that last — not just shipping the next feature, but setting a standard for how modern teams (with humans and agents working together) think and execute.
About the RoleAs a Forward Deployed Engineer within Go-To-Market, you will lead complex customer engineering engagements from end to end, spanning large-scale migrations, integrating Notion with third party systems and tools, and production AI/agentic deployments.
You’ll embed with enterprise customers to design and build solutions that integrate Notion deeply into their technical and operational environments. This includes writing and maintaining custom code, designing and deploying production-grade custom agents and AI workflows with MCP, Agent APIs, and Notion’s automation and execution infrastructure, building data pipelines, and resolving complex challenges around scale, permissions, and governance.
Your work as a customer-facing engineer will help shape best practices for how we support complex customer needs and ensure Notion’s platform is ready for scale.
What You'll AchieveOwn the hands-on technical delivery of customer engagements, including deep technical discovery, requirements gathering, solution design, and end to end implementation.
Act as a trusted technical advisor, helping customers make informed architectural decisions and identify opportunities to expand and deepen their use of Notion.
Design, build, and operate custom agents, integrations, automations, and data pipelines that connect Notion with customers’ systems and workflows.
Lead the design and execution of large-scale content and data migrations, including discovery, scoping, data modeling, transformation logic, validation, and post-migration optimization.
Work closely with client stakeholders to gather business and technical requirements and translate them into well-architected solutions that maximize the value of the Notion platform within their broader technical ecosystem.
Design and build customer integrations, automations, and custom tooling as a part of Notion implementations.
Design and operate feedback loops with Product, CX, and Engineering, translating real-world implementation challenges into actionable insights, technical requirements, and tooling improvements that directly influence Notion’s Product Roadmap and our Customers
Build foundational discovery frameworks, technical standards, and internal tooling that define how Services delivers complex migrations and implementations at scale.
Contribute to the evolution of the Services team by developing repeatable methodologies, scoping artifacts, internal tooling, and contributing best practices as the team and customer footprint grow.
4+ years of experience in a customer-facing engineering role, forward deployed engineering, or similar role, preferably in a SaaS or enterprise software environment.
Proficiency in at least one programming language such as Java, JavaScript, Node.js, SQL, or Python and comfort with writing production-quality code in customer-facing or internal engineering contexts.
Hands-on experience with APIs and data integration.
Strong written and verbal communication skills, with the ability to engage both technical and business audiences effectively.
A track record of delivering customer value by translating technical challenges into solutions that drive value for customers at scale.
Fluency in English and German.
Experience working in SaaS professional services, preferably in a startup or high-growth environment.
Experience deploying AI agents autonomously in complex coding or business workflows.
Background in developing technical frameworks, discovery methodologies, or internal tooling from the ground up.
Strong history of collaboration with product and engineering teams, including influencing roadmaps or architectural decisions.
Experience supporting pre-sales or early engagement phases, including technical discovery, migration scoping, feasibility analysis, effort estimation, and building prototypes or custom scripts to validate approaches.
Strong track record of successful enterprise customer implementations.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy. #LI-Onsite
A Note on AIYou don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we’ll make it explicit in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, move faster, and build more creatively.
Equal Opportunity & AccommodationsWe hire talented and passionate people from a variety of backgrounds because we want our teams to reflect the wide diversity of our customers. If you’re excited about a role but your experience doesn’t align perfectly with every bullet point listed, we still encourage you to apply.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
", "tags": [ "FDE", "deployment" ], "rawSourceId": "b50c884e-1170-46d2-ae4c-3f559d2c98c4", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/notion/jobs/b50c884e-1170-46d2-ae4c-3f559d2c98c4", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "notion-forward-deployed-engineer-gtm-france-179ac874", "title": "Forward Deployed Engineer, GTM, France", "company": "Notion", "location": "", "source": "ashby", "sourceCompany": "notion", "applyUrl": "https://jobs.ashbyhq.com/notion/2ca618b4-2223-47ca-b1f0-84ac101fcd90", "descriptionHtml": "Who We AreNotion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work feels faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, humanity, and building things that last — not just shipping the next feature, but setting a standard for how modern teams (with humans and agents working together) think and execute.
About The RoleAs a Forward Deployed Engineer within Go-To-Market, you will lead complex customer engineering engagements from end to end, spanning large-scale migrations, integrating Notion with third party systems and tools, and production AI/agentic deployments.
You’ll embed with enterprise customers to design and build solutions that integrate Notion deeply into their technical and operational environments. This includes writing and maintaining custom code, designing and deploying production-grade custom agents and AI workflows with MCP, Agent APIs, and Notion’s automation and execution infrastructure, building data pipelines, and resolving complex challenges around scale, permissions, and governance.
Your work as a customer-facing engineer will help shape best practices for how we support complex customer needs and ensure Notion’s platform is ready for scale.
What You'll AchieveOwn the hands-on technical delivery of customer engagements, including deep technical discovery, requirements gathering, solution design, and end to end implementation.
Act as a trusted technical advisor, helping customers make informed architectural decisions and identify opportunities to expand and deepen their use of Notion.
Design, build, and operate custom agents, integrations, automations, and data pipelines that connect Notion with customers’ systems and workflows.
Lead the design and execution of large-scale content and data migrations, including discovery, scoping, data modeling, transformation logic, validation, and post-migration optimization.
Work closely with client stakeholders to gather business and technical requirements and translate them into well-architected solutions that maximize the value of the Notion platform within their broader technical ecosystem.
Design and build customer integrations, automations, and custom tooling as a part of Notion implementations.
Design and operate feedback loops with Product, CX, and Engineering, translating real-world implementation challenges into actionable insights, technical requirements, and tooling improvements that directly influence Notion’s Product Roadmap and our Customers
Build foundational discovery frameworks, technical standards, and internal tooling that define how Services delivers complex migrations and implementations at scale.
Contribute to the evolution of the Services team by developing repeatable methodologies, scoping artifacts, internal tooling, and contributing best practices as the team and customer footprint grow.
4+ years of experience in a customer-facing engineering role, forward deployed engineering, or similar role, preferably in a SaaS or enterprise software environment.
Proficiency in at least one programming language such as Java, JavaScript, Node.js, SQL, or Python and comfort with writing production-quality code in customer-facing or internal engineering contexts.
Hands-on experience with APIs and data integration.
Strong written and verbal communication skills, with the ability to engage both technical and business audiences effectively.
A track record of delivering customer value by translating technical challenges into solutions that drive value for customers at scale.
Fluency in English and French.
Experience working in SaaS professional services, preferably in a startup or high-growth environment.
Experience deploying AI agents autonomously in complex coding or business workflows.
Background in developing technical frameworks, discovery methodologies, or internal tooling from the ground up.
Strong history of collaboration with product and engineering teams, including influencing roadmaps or architectural decisions.
Experience supporting pre-sales or early engagement phases, including technical discovery, migration scoping, feasibility analysis, effort estimation, and building prototypes or custom scripts to validate approaches.
Strong track record of successful enterprise customer implementations.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy. #LI-Onsite
A Note on AIYou don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we’ll make it explicit in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, move faster, and build more creatively.
Equal Opportunity & AccommodationsWe hire talented and passionate people from a variety of backgrounds because we want our teams to reflect the wide diversity of our customers. If you’re excited about a role but your experience doesn’t align perfectly with every bullet point listed, we still encourage you to apply.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
", "tags": [ "FDE", "deployment" ], "rawSourceId": "2ca618b4-2223-47ca-b1f0-84ac101fcd90", "rawSourceUrl": "https://api.ashbyhq.com/posting-api/job-board/notion/jobs/2ca618b4-2223-47ca-b1f0-84ac101fcd90", "discoveredAt": "2026-06-01T19:16:00.505Z", "updatedAt": "2026-06-01T19:16:00.505Z" }, { "slug": "notion-forward-deployed-engineer-gtm-korea-93afc3f5", "title": "Forward Deployed Engineer, GTM - Korea", "company": "Notion", "location": "Remote", "source": "ashby", "sourceCompany": "notion", "applyUrl": "https://jobs.ashbyhq.com/notion/1cd3f44f-aa30-44a6-a64b-c7bfc813eeb9", "descriptionHtml": "Who We AreNotion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work feels faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, humanity, and building things that last — not just shipping the next feature, but setting a standard for how modern teams (with humans and agents working together) think and execute.
About The RoleAs a Forward Deployed Engineer within Go-To-Market, you will lead complex customer engineering engagements from end to end, spanning large-scale migrations, integrating Notion with third party systems and tools, and production AI/agentic deployments.
You’ll embed with enterprise customers to design and build solutions that integrate Notion deeply into their technical and operational environments. This includes writing and maintaining custom code, designing and deploying production-grade custom agents and AI workflows with MCP, Agent APIs, and Notion’s automation and execution infrastructure, building data pipelines, and resolving complex challenges around scale, permissions, and governance.
Your work as a customer-facing engineer will help shape best practices for how we support complex customer needs and ensure Notion’s platform is ready for scale.
What You'll AchieveOwn the hands-on technical delivery of customer engagements, including deep technical discovery, requirements gathering, solution design, and end to end implementation.
Act as a trusted technical advisor, helping customers make informed architectural decisions and identify opportunities to expand and deepen their use of Notion.
Design, build, and operate custom agents, integrations, automations, and data pipelines that connect Notion with customers’ systems and workflows.
Lead the design and execution of large-scale content and data migrations, including discovery, scoping, data modeling, transformation logic, validation, and post-migration optimization.
Work closely with client stakeholders to gather business and technical requirements and translate them into well-architected solutions that maximize the value of the Notion platform within their broader technical ecosystem.
Design and build customer integrations, automations, and custom tooling as a part of Notion implementations.
Design and operate feedback loops with Product, CX, and Engineering, translating real-world implementation challenges into actionable insights, technical requirements, and tooling improvements that directly influence Notion’s Product Roadmap and our Customers
Build foundational discovery frameworks, technical standards, and internal tooling that define how Services delivers complex migrations and implementations at scale.
Contribute to the evolution of the Services team by developing repeatable methodologies, scoping artifacts, internal tooling, and contributing best practices as the team and customer footprint grow.
4+ years of experience in a customer-facing engineering role, forward deployed engineering, or similar role, preferably in a SaaS or enterprise software environment.
Proficiency in at least one programming language such as Java, JavaScript, Node.js, SQL, or Python and comfort with writing production-quality code in customer-facing or internal engineering contexts.
Hands-on experience with APIs and data integration.
Strong written and verbal communication skills, with the ability to engage both technical and business audiences effectively.
A track record of delivering customer value by translating technical challenges into solutions that drive value for customers at scale.
You are a native-level Korean speaker with business-level English proficiency (including spoken English)
You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results.
Experience working in SaaS professional services, preferably in a startup or high-growth environment.
Experience deploying AI agents autonomously in complex coding or business workflows.
Background in developing technical frameworks, discovery methodologies, or internal tooling from the ground up.
Strong history of collaboration with product and engineering teams, including influencing roadmaps or architectural decisions.
Experience supporting pre-sales or early engagement phases, including technical discovery, migration scoping, feasibility analysis, effort estimation, and building prototypes or custom scripts to validate approaches.
Strong track record of successful enterprise customer implementations.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy. #LI-Onsite
A Note on AIYou don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we’ll make it explicit in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, move faster, and build more creatively.
Equal Opportunity & AccommodationsWe hire talented and passionate people from a variety of backgrounds because we want our teams to reflect the wide diversity of our customers. If you’re excited about a role but your experience doesn’t align perfectly with every bullet point listed, we still encourage you to apply.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
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