Why This Job is Featured on The SaaS Jobs
Forward Deployed Engineering sits in a distinctive part of the modern SaaS ecosystem, where platform capabilities meet real production constraints inside customer environments. This posting is notable because it frames deployment as a product-feedback loop, with eval-driven learnings flowing back into roadmap decisions. For SaaS professionals, it reflects a model of delivery that treats adoption and measurable workflow impact as first-class outcomes, not just implementation milestones.
Career-wise, the role builds a portfolio that translates across high-growth SaaS contexts: scoping ambiguous problems, designing systems that survive production, and aligning technical decisions with usage signals. Working across Product, Research, Security, and GTM mirrors how mature SaaS organizations ship and govern capabilities at scale, especially when reliability, risk, and customer trust shape what can be launched and how it is operated.
This position tends to suit engineers who prefer end-to-end ownership and can move between hands-on building and stakeholder coordination without losing technical depth. It is a strong match for those who enjoy customer-facing problem solving, can travel as part of delivery, and want their work to influence both deployments and the underlying platform direction.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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.
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We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
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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.
