Platform Engineer, Forward Deployed Engineering (FDE) NYC

About the team

OpenAIs 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 orgs impact to OpenAIs 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 practice that means working in the trenches on architecture product shaping refactoring hardening and reusable abstractions while preserving the pods 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 <10% with occasional spikes for key embeds or launches.

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 01 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 OpenAIs 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 addition job duties require access to secure and protected information technology systems and related data security obligations.

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