OpenAI
Direct Ashby career site

Software Engineer, Privacy Engineering (Lawful Access)

Location
San Francisco, CA · On-site
Job type
Full-time
Level
Senior
Listed
18 days ago

Skills & highlights for this role

  • Backend engineering fundamentals
  • Production service or data-intensive system development
  • Reasoning about correctness, authorization, security, and privacy with sensitive data
  • Translating ambiguous requirements into pragmatic plans
  • End-to-end ownership and operation of production systems
  • Cross-functional collaboration with Engineering, Legal, Operations, Privacy, and Security

Also useful

  • Experience building or operating lawful data access request systems
  • Understanding of legal-process lifecycle, privacy, and auditability constraints
  • Operator experience and workflow design

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 building production services or data-intensive systems.
  • Ability to reason carefully about correctness, authorization, security, and privacy when working with sensitive data.
  • A track record of turning ambiguous requirements into pragmatic plans and communicating technical tradeoffs clearly.
  • End-to-end ownership, including operating what you build, and comfort learning unfamiliar products and domains.
  • Care for operator experience and a drive to make complex workflows safer, clearer, and more efficient.
  • Experience collaborating across Engineering, Legal, operations, Privacy, and Security stakeholders.

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 OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Read the original posting

From OpenAI's careers page, first listed on Rolev.ai on October 22, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

Where is the Software Engineer, Privacy Engineering (Lawful Access) job at OpenAI located?

This Software Engineer, Privacy Engineering (Lawful Access) position at OpenAI is located in San Francisco, CA (On-site). Always check OpenAI's application page for specific state eligibility or relocation policies.

What qualifications are required for Software Engineer, Privacy Engineering (Lawful Access) at OpenAI?

For the Software Engineer, Privacy Engineering (Lawful Access) role, OpenAI highlights experience with Backend engineering fundamentals, Production service or data-intensive system development, Reasoning about correctness, authorization, security, and privacy with sensitive data, Translating ambiguous requirements into pragmatic plans, End-to-end ownership and operation of production systems, Cross-functional collaboration with Engineering, Legal, Operations, Privacy, and Security. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Software Engineer, Privacy Engineering (Lawful Access) position at OpenAI?

This listing links directly to OpenAI's Ashby application page. You can apply directly on OpenAI's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.