Engineering Manager - Privacy Infrastructure
Anthropic - San Francisco, CA | Seattle, WA
Posted Jun 4, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- $405K-$485K From the posting source checked Jun 20, 2026
- 401(k) match
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
282% above the BLS role benchmark for software engineering aggregate.
Posted salary is far from this role benchmark; treat it as low confidence.
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Engineering Manager - Privacy Infrastructure San Francisco, CA | Seattle, WA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're looking for an Engineering Manager to build and lead our Privacy Engineering team:a small, high-leverage group responsible for designing and operating the privacy infrastructure that protects user data across our AI systems. You'll have an outsized impact in shaping how Anthropic builds world-class privacy into Claude from the ground up. This is a role with extraordinary scope and leverage. You'll own privacy engineering for Anthropic end-to-end.The work that spans privacy-preserving architectures for AI training and inference, foundational data governance and lifecycle systems, and the automated controls that turn complex regulation into engineering reality. You'll lead a team of talented privacy engineers that builds and operates the platform and infra frameworks underpinning Anthropic's privacy and compliance posture. Your job is to scale the team and its charter as Anthropic grows. . Working at the intersection of privacy engineering, AI safety, and distributed systems, your team will solve novel challenges in protecting user data at scale, handling billions of conversations while maintaining model quality and research velocity. If owning the whole problem and having an outsized impact on how a frontier AI lab protects
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