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Platform Engineer, Forward Deployed Engineering (FDE) - NYC

Openai
Remote Remote - Unknown
$150k - $250k (est.) +34% vs avg
Posted Feb 24, 2026
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About This Role

Key Technical Requirements and Skills: - 5+ years of software engineering or ML engineering experience with a track record of building new platform capabilities from scratch - Experience with owning customer-adjacent technical work end-to-end, from scoping and hypothesis-setting to production adoption - Expertise in building or operating systems with a focus on reliability, security, and governance - Strong communication skills to collaborate with various stakeholders and translate technical trade-offs into business impact Team/Project Information: - The role is part of the Forward Deployed Engineering (FDE) team, which works closely with customer-tagged teams and other long-term owners to align on platform capabilities. - The role does not require travel and is based in San Francisco or New York, with a hybrid work model of 3 days in the office per week. Unique or Notable About the Role: - The role involves building new platform capabilities from scratch, grounded in real customer

Platform Engineer, Forward Deployed Engineering (FDE) role involves building new platform capabilities from scratch, grounded in real customer deployments. The role requires strong software and ML engineers who can collaborate closely with customer-tagged FDE teams and other long-term owners to align early on what should generalize, what should remain customer-specific, and what “ready for handoff” looks like. The role does not require travel and is based in San Francisco or New York, with a hybrid work model of 3 days in the office per week.

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.
  • 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.
  • 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.

Benefits

  • Relocation assistance
  • Hybrid work model (3 days in the office per week)

Originally posted on Himalayas

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