OpenAI

1 day ago

Software Engineer, Privacy Engineering (Lawful Access)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Build internal tools and data pipelines that power lawful data access request workflows and Legal Operations. Design and operate backend systems across the full lifecycle—from intake and scoping through authorized retrieval, review, preparation, and audit. Implement least-privilege access, approval gates, provenance, audit trails, and safe failure modes for sensitive data, then translate legal and operational requirements into accurate, auditable, and efficient operator experiences.

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design, build, and operate backend systems and workflow tooling for the full lifecycle of lawful data access requests, from intake and scoping through retrieval, review, preparation, and audit.
•Build reliable data pipelines and interfaces across products and data stores so authorized teams can locate and handle 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.
•Own production systems through testing, observability, incident response, documentation, and continuous reliability improvements.

Pay and Benefits

Salary: USD 293,000 - 405,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Experience building or operating systems for lawful data access requests and understanding the legal-process lifecycle, privacy/security constraints, auditability needs, and operational sensitivities.
•Strong backend engineering fundamentals with experience building production services or data-intensive systems.
•Ability to reason carefully about correctness, authorization, security, and privacy when working with sensitive data.
•Track record of translating ambiguous operational requirements into pragmatic plans and communicating technical tradeoffs clearly.
•End-to-end ownership of what you build, including operating systems in production and comfort learning unfamiliar products and domains.

Skills:End-to-end ownershipCareful reasoningCommunicationCross-functional collaborationOperational focus

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor

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OpenAI

1 day ago

Software Engineer, Privacy Engineering (Lawful Access)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design, build, and operate backend systems and workflow tooling for the full lifecycle of lawful data access requests, from intake and scoping through retrieval, review, preparation, and audit.
•Build reliable data pipelines and interfaces across products and data stores so authorized teams can locate and handle 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.
•Own production systems through testing, observability, incident response, documentation, and continuous reliability improvements.

Pay and Benefits

Salary: USD 293,000 - 405,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Experience building or operating systems for lawful data access requests and understanding the legal-process lifecycle, privacy/security constraints, auditability needs, and operational sensitivities.
•Strong backend engineering fundamentals with experience building production services or data-intensive systems.
•Ability to reason carefully about correctness, authorization, security, and privacy when working with sensitive data.
•Track record of translating ambiguous operational requirements into pragmatic plans and communicating technical tradeoffs clearly.
•End-to-end ownership of what you build, including operating systems in production and comfort learning unfamiliar products and domains.

Skills:End-to-end ownershipCareful reasoningCommunicationCross-functional collaborationOperational focus

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor