Anthropic
AI
EngineeringManager-PrivacyInfrastructure
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optimal for Manager candidates.
“Engineering Manager - Privacy Infrastructure at Anthropic”
Industry & Context.
Problem-solver; Root cause analysis
How You'll Work.
Team & Collaboration
Partner with technical leads; Partner with researchers; Partner with legal; Work closely with security; Work closely with legal; Work closely with data infrastructure; Work closely with research; Work closely with go-to-market; Cross-functional discussions
Communication Scope
Articulate dependencies; Articulate risks; Articulate progress; Advocate for privacy; Translate complex challenges
Process & Methodology
Establish team charter, Establish team practices, Establish team priorities
Full Job Description
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 its users sounds compelling, this role might be for you. Key Responsibilities Build and lead the team: Recruit, develop, and retain a team of exceptional privacy engineers; establish team charter, practices, and priorities as the team matures Drive technical strategy: Partner with technical leads, researchers, and legal to set direction for privacy infrastructure across training, inference, and
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