About the role
Anthropic's Safeguards team is responsible for the systems that allow us to deploy powerful AI models responsibly — and the data infrastructure underneath those systems is foundational to getting that right. The Safeguards Data Infrastructure team owns the offline data stack that underpins our 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.
As Engineering Manager of this team, you'll be responsible for ensuring full portability of our safeguards data stack across an expanding set of deployment environments, building privacy-preserving data interfaces that enable ML and training workflows, and driving compliance with data regulations including HIPAA. This is a role at the intersection of infrastructure engineering, data privacy, and enterprise product requirements — and it sits at a critical juncture as Anthropic scales into new 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 the strategy and execution for porting the safeguards offline data stack — including PII storage and tooling — across new cloud and deployment environments as Anthropic expands
- 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 that maximize data retention within the bounds of our privacy and compliance requirements
- Manage privacy incident response processes and partner with compliance teams on regulatory requirements (e.g. HIPAA, EU privacy regulations)
- Collaborate closely with enterprise customers and product teams on zero data retention offerings, working balancing safety needs with robust enterprise data contracts
- Independently own and drive multiple workstreams, including planning, execution, and cross-team coordination
- Coach, mentor, and support the career development of your direct reports, helping them set and achieve their professional goals
- Partner with recruiting to attract, hire, and retain strong engineering talent
You may be a good fit if you:
- Have 4+ years of front-line engineering management experience
- Have a track record of leading teams that build and operate data infrastructure at scale
- Have hands-on software engineering experience as an individual contributor prior to moving into management
- Have a strong understanding of data privacy principles, PII handling, and compliance frameworks
- Are comfortable driving technical decisions in an ambiguous, fast-moving environment with competing priorities
- Have experience working cross-functionally across infrastructure, product, and compliance or security teams
- Are clear and persuasive communicators, both in writing and in person
Strong candidates may also:
- Have experience with multi-cloud or multi-region data portability, particularly in regulated environments
- Have built privacy-preserving data pipelines or interfaces for ML workloads
- Have experience with enterprise data contracts or zero data retention architectures
- Have explored novel approaches to data processing under strict access constraints, such as in-memory storage and compute for sensitive data
- Have a passion for building diverse and inclusive teams
