Software Engineer, Privacy Engineering (Lawful Access)
OpenAI
Software Engineer, Privacy Engineering (Lawful Access) is a still-open role at OpenAI on Jobrow. Location: On-site · San Francisco · California · United States. Listed pay: $347k–$385k. Sourced from the company's public Ashby board. First seen 10 days ago; last confirmed 9 days ago. Apply on the employer ATS — Jobrow is not the employer.
- Pay
- $347k–$385k
- Workplace
- On-site
- Location
- San Francisco · California · United States
- First seen
- 10 days ago
- Last seen
- 9 days ago
- Board
- Ashby
About this role
About the Team The Privacy Engineering team builds secure, reliable systems that help OpenAI meet its legal obligations while protecting user data.
- Function: Security
- Seniority: mid
Location & pay
On-site · San Francisco · California · United States Listed pay on Jobrow: $347k–$385k.
Source
Jobrow reads the public Ashby board for OpenAI. First seen 10 days ago; last seen 9 days ago. We are not the employer — apply only on the company ATS.
Posting
About the Team 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. 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 Role We’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 requirements 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 the architecture and roadmap for reusable privacy and legal-infrastructure foundations as OpenAI’s products and obligations evolve. You might thrive in this role if you: - 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 bu
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