the TeamThe 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.
Our work turns complex, high-stakes processes into auditable and dependable technical systems with clear human oversight and strong privacy and security controls.
About the RoleWe’re looking for a full-stack Software Engineer to build the internal tools and data pipelines that power lawful data access request workflows and Legal Operations.
You will work across product and data systems to make authorized retrieval and case handling accurate, efficient, and auditable.
This role is well suited to someone who enjoys translating ambiguous operational.
Requisitos
into durable systems, cares deeply about sensitive-data handling, and wants to improve both technical reliability and the day-to-day experience of the people operating these workflows.In this role, you will: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.Help define...