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Software Engineer, Privacy Engineering

OpenAI · San Francisco

CHECKED 1H AGO

Frontier labremotesenior$230k–$325k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build systems governing how user data is retained, accessed and used.
  • Design metadata systems and policy enforcement for AI at scale.
  • Make policy-aligned data handling the default across products.

What they offer

  • Equity
  • Relocation assistance

Ideal candidate

Senior engineer who thrives on ambiguous, high-trust problems and cross-functional influence, passionate about turning privacy principles into durable, scalable systems.

Requirements

  • Substantial experience designing and operating large-scale data platforms, privacy infrastructure, or governance systems in complex production environments
  • Led architecture and multi-team execution for data-governance domains such as metadata and lineage, retention and deletion, access governance, or data-use controls
  • Can translate ambiguous policy, legal, security, and product requirements into system boundaries, standards, roadmaps, and measurable outcomes
  • Influence senior stakeholders and engineering teams without formal authority and build durable cross-functional alignment
  • Take end-to-end ownership of high-trust systems including correctness, scalability, auditability, and operational resilience

Lab profile

About OpenAI

Builds safe frontier AI models and products like ChatGPT for broad benefit.

What they build

  • ChatGPT
  • OpenAI API
  • Frontier AI models

Known for

  • Frontier-scale distributed ML training
  • Massive GPU fleet and data center operations
  • Exabyte-scale data lakes and streaming
  • AI alignment and safety research

Key facts

  • Operates one of the world's largest GPU fleets
More about OpenAI →
Apply on the lab’s site ↗