OpenAI

4 months ago

Platform Engineer, Forward Deployed Engineering (FDE) - NYC

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Platform Engineer in FDE works with software and ML engineers to build new platform capabilities from scratch, embedded with customer-tagged pods to shape architecture, refactor, and generalize patterns for OpenAI’s platform and products, with hybrid work in NYC/SF and minimal travel.

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•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.
•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.
•Collaborate as part of cross-functional platform teams: partner with B2B Product, customer-tagged FDEs, ops, and business partners to bring the right products to market.
•Lead complex platform capabilities end-to-end when needed: act as DRI for high-leverage primitives like Context Platform, from requirements through implementation.

Pay and Benefits

Salary: USD 230,000 - 385,000 annually

Key Requirements

•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.
•Own customer-adjacent technical work end-to-end, from scoping and hypothesis-setting through production adoption.
•Built or operated systems where reliability, security, and governance materially shaped design (permissions/RBAC, auditability, data access boundaries, observability).
•Communicate clearly across engineering, product, go-to-market, and executive audiences, translating technical tradeoffs into adoption impact and measurable outcomes.
•Default to systems thinking: turn ambiguous feedback, failures, and escalations into durable product requirements and reusable platform capabilities.

Experience:5+ yearsAIMLPlatform engineeringSoftware engineering

Skills:CommunicationCollaborationProblem-solvingLeadershipTeamwork

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor

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OpenAI

4 months ago

Platform Engineer, Forward Deployed Engineering (FDE) - NYC

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•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.
•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.
•Collaborate as part of cross-functional platform teams: partner with B2B Product, customer-tagged FDEs, ops, and business partners to bring the right products to market.
•Lead complex platform capabilities end-to-end when needed: act as DRI for high-leverage primitives like Context Platform, from requirements through implementation.

Pay and Benefits

Salary: USD 230,000 - 385,000 annually

Key Requirements

•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.
•Own customer-adjacent technical work end-to-end, from scoping and hypothesis-setting through production adoption.
•Built or operated systems where reliability, security, and governance materially shaped design (permissions/RBAC, auditability, data access boundaries, observability).
•Communicate clearly across engineering, product, go-to-market, and executive audiences, translating technical tradeoffs into adoption impact and measurable outcomes.
•Default to systems thinking: turn ambiguous feedback, failures, and escalations into durable product requirements and reusable platform capabilities.

Experience:5+ yearsAIMLPlatform engineeringSoftware engineering

Skills:CommunicationCollaborationProblem-solvingLeadershipTeamwork

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor