Principal Engineer, Privacy
Anthropic · Remote-Friendly (Travel-Required) · San Francisco, CA · Seattle, WA · New York City, NY
Frontier labremoteprincipal
At a glance
Highlights
- Define privacy strategy across products, research data, tooling and clouds.
- Build primitives for discovery, lineage, access control, retention and deletion.
- Embed GDPR, CCPA, HIPAA and EU AI Act duties into verified controls.
What they offer
- competitive compensation and benefits
- optional equity donation matching
- generous vacation and parental leave
- flexible working hours
- office space for collaboration
Ideal candidate
Senior privacy leader who thrives on ambiguous, company-critical problems and leads through influence. You care about baking privacy into AI systems by default and partnering across engineering, legal and research.
Requirements
- Track record as Principal engineer or equivalent setting direction adopted by multiple teams
- Deep experience applying privacy by design, data minimization and purpose limitation at scale
- Experience architecting data governance infrastructure across distributed cloud systems
- Proficiency in Python, Go or similar with strong design docs and architectural judgment
- Understanding of GDPR, CCPA and ability to partner with legal to design technical controls
- Communication that builds alignment across engineering, research, legal and product
Lab profile
About Anthropic
AI safety company building reliable, interpretable and steerable frontier AI systems.
What they build
- Claude
- Claude API
- Claude Code
Known for
- AI safety and alignment
- Model interpretability research
- Frontier LLM development
Key facts
- Founded in 2021
- Headquartered in San Francisco, California
- Backed by Amazon and Google
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