The opportunity
The Privacy Engineering team builds secure, reliable systems that help OpenAI meet its legal obligations while protecting user data. We partner closely with Legal and Engineering teams across OpenAI to support lawful data access requests and other critical legal workflows.
What you'll do
Design, build, and operate backend systems and workflow tooling for the full: lifecycle of lawful data access requests, from intake and scoping through authorized retrieval, review, preparation, and audit.
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.
What they're looking for
- Help define the architecture and roadmap for reusable privacy and: legal-infrastructure foundations as OpenAI’s products and obligations evolve.
- Have experience building or operating systems for lawful data access requests: and understand the domain’s legal-process lifecycle, privacy and security constraints, auditability requirements, and operational sensitivities.
- Strong backend engineering fundamentals and experience building production services or data-intensive systems.
- Ability to reason carefully about correctness, authorization, security, and: privacy when working with sensitive data.
