Full-Stack Privacy Engineer for Lawful Access Tools

OpenAI

San Francisco (CA)

Hybrid

USD 150,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Relocation assistance

Job summary

OpenAI is seeking a full-stack Software Engineer to build internal tools and data pipelines that power lawful data access workflows and Legal Operations. You will work across product and data systems to ensure authorized retrieval and case handling are accurate, auditable, and efficient.

This role is based in San Francisco with London and Dublin as additional considerations, and a hybrid schedule of three days in the office per week.

Responsibilities

  • Design, build, and operate backend systems and workflow tooling for the full lifecycle of lawful data access requests.
  • Build reliable data pipelines and interfaces across products and data stores so authorized teams can locate and handle the right records accurately and reproducibly.
  • Implement least-privilege access, approval gates, provenance, audit trails, data minimization, and safe failure modes for sensitive workflows.
  • Partner with Legal and Legal Operations to translate legal and operational requirements into clear technical designs and intuitive operator experiences.
  • Identify responsible automation opportunities that reduce repetitive work while preserving human review, judgment, and accountability.
  • Own production systems through testing, observability, incident response, documentation, and continuous reliability improvements.
  • Help define the architecture and roadmap for reusable privacy and legal-infrastructure foundations as OpenAI’s products and obligations evolve.

Job description

OpenAI is seeking a full-stack Software Engineer to build internal tools and data pipelines that power lawful data access workflows and Legal Operations. You will work across product and data systems to ensure authorized retrieval and case handling are accurate, auditable, and efficient.

This role is based in San Francisco with London and Dublin as additional considerations, and a hybrid schedule of three days in the office per week.

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