Engineering Manager, Safeguards Data Infrastructure

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The Safeguards Data Infrastructure team owns the offline data stack that underpins safeguards work: the storage layer for sensitive user data, the tooling built on top of it, and the interfaces that let the rest of the Safeguards organization access that data safely and ergonomically.

Role overview

As Engineering Manager for Safeguards Data Infrastructure you will ensure portability of the safeguards data stack across deployment environments, build privacy-preserving data interfaces that enable ML and training workflows, and drive compliance with data regulations (including HIPAA). This role sits at the intersection of infrastructure engineering, data privacy, and enterprise product requirements and requires coordinating across cloud environments and geographies.

Responsibilities

• Lead and grow a team of engineers delivering the data infrastructure and tooling that powers Anthropic's safeguards capabilities.
• Own strategy and execution for porting the safeguards offline data stack (including PII storage and tooling) across new cloud and deployment environments.
• Build and maintain privacy-safe data APIs and interfaces that enable ML and training workflows while respecting data retention and access constraints.
• Drive tooling and architecture decisions to maximize data retention within privacy and compliance requirements.
• Manage privacy incident response processes and partner with compliance teams on regulatory requirements (e.g. HIPAA, EU privacy regulations).
• Collaborate with enterprise customers and product teams on zero data retention offerings and enterprise data contracts.
• Independently own and drive multiple workstreams: planning, execution, and cross-team coordination.
• Coach, mentor, and support career development of direct reports; partner with recruiting to attract and retain talent.

Minimum qualifications

• 3+ years of front-line engineering management experience.
• Hands-on software engineering experience as an individual contributor prior to moving into management.
• Comfortable driving technical decisions in an ambiguous, fast-moving environment with competing priorities.
• Experience working cross-functionally across infrastructure, product, and compliance or security teams.
• Clear and persuasive communicator, both written and verbal.
• Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience.

Preferred qualifications

• Track record of leading teams that build and operate data infrastructure at scale.
• Experience with multi-cloud or multi-region data portability, particularly in regulated environments.
• Experience building privacy-preserving data pipelines or interfaces for ML workloads; familiarity with zero data retention architectures.
• Experience with enterprise data contracts.
• Experience exploring approaches for data processing under strict access constraints (e.g., in-memory storage and compute for sensitive data).
• Strong understanding of data privacy principles, PII handling, and compliance frameworks.
• Passion for building diverse and inclusive teams.

Compensation

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

Location & Office policy

• Location: New York City, NY, United States.
• Location-based hybrid policy: staff are expected to be in one of Anthropic's offices at least 25% of the time (location-based hybrid).

Logistics & other notes

• Visa sponsorship: Anthropic states they do sponsor visas and retain an immigration lawyer to assist (subject to role/candidate).
• The posting encourages applicants even if they don't meet every qualification and describes company values and candidate AI usage guidance.

Benefits (selected mentions)

• Competitive compensation and benefits.
• Optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours and office space for collaboration.