OpenAI· Model Deployment for Business· New York City
Platform Engineer, Forward Deployed Engineering (FDE) - NYC
Comp$230K – $385K
Classified Tasks (14)
Automate 0%Augment 71%Human-Only 29%
Augment (10)
AI assists, human decides
Embed with customer-tagged FDE teams to support generalization and contribute to architecture, product shaping, refactoring, hardening, and implementation.
technical
Provide hands-on leverage to customer pods to scale FDE impact on OpenAI’s platform and products.
technical
Translate cross-customer patterns into crisp hypotheses with clear success criteria, scoped plans, and validation strategies that fit account constraints.
analytical
Set organization-wide quality norms by performing high-signal code reviews and pairing.
leadership
Build lightweight developer tooling that improves architecture, readability, and correctness across FDE.
technical
Make and document key tradeoffs explicit during design and implementation of platform primitives.
technical
Turn raw customer signal into shipped software, repeatable patterns, and durable products with design partners.
technical
Scope and own customer-adjacent technical work end-to-end, including hypothesis setting, instrumentation, evaluations, and error analysis to drive production adoption.
technical
Design, build, and operate systems that incorporate reliability, security, and governance considerations (permissions/RBAC, auditability, data access boundaries, rollout safety).
technical
Work in the trenches to create reusable abstractions while preserving pods' ownership of customer understanding and day-to-day execution.
technical
Human-Only (4)
Requires human judgment
Partner with B2B Product, ops, business partners, and long-term platform owners to align platform capabilities to market needs.
leadership
Lead complex platform capabilities end-to-end as the DRI from requirements through implementation.
leadership
Pull in customer pods early in the development process to validate work in real deployments.
operational
Align early with B2B Platform Team and long-term owners on what should generalize, what should remain customer-specific, and define "ready for handoff" criteria.
leadership
Job description
Platform Engineer, Forward Deployed Engineering (FDE) - NYC | OpenAI Careers ## Platform Engineer, Forward Deployed Engineering (FDE) - NYC Model Deployment for Business - New York City Apply now(opens in a new window) **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 <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 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, obser