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OpenAI

Software Engineer, Privacy Engineering (Lawful Access)

San Francisco (Remote)$293k–$405kfulltimemidAdded yesterday

About this role

Build backend systems and data pipelines for lawful data access request workflows at OpenAI, translating complex legal and operational requirements into secure, auditable technical solutions that balance privacy, security, and operational efficiency.

What you'll do

  • Design and operate backend systems and workflow tooling for the complete lawful data access request lifecycle
  • Build reliable data pipelines and interfaces across products and data stores for accurate record retrieval
  • Implement security controls including least-privilege access, approval gates, audit trails, and safe failure modes
  • Translate legal and operational requirements into technical designs and intuitive operator experiences
  • Identify automation opportunities that reduce repetitive work while preserving human oversight
  • Own production systems through testing, observability, incident response, and continuous improvement

What they're looking for

  • Backend engineering and production services
  • Data pipeline design and data-intensive systems
  • Security and privacy architecture
  • Auditing and compliance systems
  • Requirements gathering and technical communication
  • End-to-end system ownership and operations
  • Cross-functional collaboration with legal and security teams

Benefits

  • Hybrid work model (3 days in office per week)
  • Relocation assistance available
  • Based in San Francisco with additional office locations in London and Dublin
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OpenAI

OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.

View all jobs at OpenAI

Likely interview questions

  • Describe your experience building or operating systems that handle sensitive data requests—what compliance and auditability challenges did you encounter?
  • Walk us through how you would design approval gates and audit trails for a high-stakes data retrieval workflow.