Engineering Manager - Privacy Infrastructure

Details

Anthropic is building reliable, interpretable, and steerable AI systems and is seeking an Engineering Manager to build and lead a small, high-leverage Privacy Engineering team. The team will design and operate privacy infrastructure that protects user data across Anthropic’s AI systems, spanning privacy-preserving architectures for training and inference, data governance and lifecycle systems, and automated compliance controls.

Responsibilities

• Build and lead the team: recruit, develop, and retain privacy engineers; establish team charter, practices, and priorities.
• Drive technical strategy: partner with technical leads, researchers, and legal to set direction for privacy infrastructure across training, inference, and product surfaces (data governance, policy enforcement, deletion/retention/lineage, encryption and key management, audit and access transparency, ML-based PII detection and redaction).
• Build foundational privacy infrastructure: guide development of automated data discovery, classification, access controls, audit logging, lifecycle management systems, and data governance platforms for lineage, purpose limitation, and retention across distributed AI systems.
• Translate regulation into engineering: turn regulatory requirements (GDPR, CCPA, HIPAA, EU AI Act) into actionable technical implementations and automated compliance controls.
• Lead privacy reviews at scale: oversee technical privacy reviews and threat modeling for new AI models and features, identify risks, and architect scalable mitigations.
• Enable privacy by default: champion privacy engineering toolkits and frameworks so engineers can build privacy-preserving features by default, and embed privacy controls into inference systems, interfaces, and data pipelines.
• Communicate and coordinate: work closely with security, legal, data infrastructure, research, and go-to-market teams; articulate dependencies, risks, and progress to stakeholders.
• Stay technically grounded: maintain sufficient technical depth to guide the team and represent privacy concerns in cross-functional discussions.

Requirements

Required

• Significant experience managing engineering teams, including hiring and growing teams through ambiguity and rapid change.
• Deep expertise in privacy engineering principles: privacy by design, data minimization, and purpose limitation.
• Strong technical foundation in data governance and privacy infrastructure: policy enforcement, deletion/retention/lineage systems, encryption and key management, audit logging.
• Strong understanding of privacy regulations (GDPR, CCPA) and ability to translate legal requirements into technical solutions.
• Experience with data governance, classification, and lifecycle management systems serving large user bases.
• Ability to balance technical depth with pragmatic decision-making and end-to-end ownership.
• Strong communication skills to translate privacy challenges into business terms.

Preferred

• 8+ years of experience managing technical teams.
• Experience growing an engineering team and charter during rapid company scaling or hypergrowth.
• Experience conducting privacy reviews, threat modeling, and risk assessments for production systems.
• Proven track record designing and implementing privacy infrastructure for millions of users.
• Exposure to AI/ML infrastructure and privacy demands of large-scale training and inference.

Compensation

• Annual Salary: $405,000 - $485,000 USD

Logistics

• Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience.
• Location: San Francisco, CA and Seattle, WA. Location-based hybrid policy: staff expected to be in one of the offices at least 25% of the time (some roles may require more time on-site).
• Visa sponsorship: Anthropic states they do sponsor visas and retain an immigration lawyer to assist, though outcomes depend on role/candidate and are not guaranteed.

Benefits

• Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration.

About the Team and Mission

• Work at the intersection of privacy engineering, AI safety, and distributed systems to protect user data at scale while maintaining model quality and research velocity. The role emphasizes building privacy into Claude from the ground up and scaling privacy infrastructure and team charter as Anthropic grows.