Engineering Manager - Privacy Infrastructure

We're looking for an Engineering Manager to build and lead our Privacy Engineering team. This role involves owning privacy engineering for Anthropic end-to-end, driving technical strategy, building foundational privacy infrastructure, leading privacy reviews at scale, enabling privacy by default, and communicating and coordinating with various teams.

Key responsibilities include:

• Building and leading the team: Recruit, develop, and retain a team of exceptional privacy engineers; establish team charter, practices, and priorities as the team matures

• Driving technical strategy: Partner with technical leads, researchers, and legal to set direction for privacy infrastructure across training, inference, and product surfaces: data governance and policy enforcement, deletion and retention at scale, encryption and key management, audit and access transparency, and ML-based PII detection and redaction.

• Building foundational privacy infrastructure: Guide the team in building automated data discovery, classification, access controls, audit logging, and lifecycle management systems, plus data governance platforms for tracking lineage, purpose limitation, and retention across distributed AI systems

• Leading privacy reviews at scale: Oversee technical privacy reviews and threat modeling for new AI models and features, identifying risks and architecting scalable mitigations

• Enabling privacy by default: Champion privacy engineering toolkits and frameworks that let all engineers build privacy-preserving features by default, and embed privacy controls into Claude's inference systems, interfaces, and data pipelines

• Communicating and coordinating: Work closely with security, legal, data infrastructure, research, and go-to-market teams; clearly articulate dependencies, risks, and progress to stakeholders, and advocate for privacy as central to our mission of AI safety.

• Staying technically grounded: Maintain enough technical depth to understand your team's work, provide meaningful guidance, and credibly represent privacy concerns in cross-functional discussions

We're looking for a technical leader who thinks of themselves as a problem-solver and team-builder first. The ideal candidate has significant experience managing engineering teams, deep expertise in privacy engineering principles, and strong technical foundation in data governance and privacy infrastructure.