2 days ago
Base Salary
$347k - $385k/yr
Responsibilities
- Design, build, and operate backend systems and workflow tooling for lawful data access requests from intake through authorized retrieval, review, preparation, and audit.
- Build reliable data pipelines and interfaces across products and data stores to support accurate and reproducible record handling.
- Implement least-privilege access, approval gates, provenance, audit trails, data minimization, and safe failure modes.
- Translate legal and operational requirements into clear technical designs and intuitive operator experiences with Legal and Legal Operations.
- Identify responsible automation opportunities while preserving human review, judgment, and accountability.
- Own production systems through testing, observability, incident response, documentation, and reliability improvements.
- Help define architecture and roadmap for reusable privacy and legal-infrastructure foundations.
Requirements
- Experience building or operating systems for lawful data access requests and understanding of their 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 handling sensitive data.
- Track record of turning ambiguous requirements into pragmatic plans and communicating technical tradeoffs clearly.
- End-to-end ownership of systems, including operating what you build, and comfort learning unfamiliar products and domains.
- Care for operator experience and motivation to make complex workflows safer, clearer, and more efficient.
- Experience collaborating across Engineering, Legal, Operations, Privacy, and Security stakeholders.
Categories
BackendData Engineering
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.