About the Role
Anthropic’s Safeguards team is responsible for the systems that allow us to deploy powerful AI models responsibly. 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 will ensure full portability of our safeguards data stack across an expanding set of 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 it is critical 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, 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 direct reports, helping them set and achieve professional goals.
- Partner with recruiting to attract, hire, and retain strong engineering talent.
Qualifications
- 4+ years of front‑line engineering management experience.
- Track record of leading teams that build and operate data infrastructure at scale.
- Hands‑on software engineering experience as an individual contributor prior to moving into management.
- Strong understanding of data privacy principles, PII handling, and compliance frameworks.
- 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 in writing and in person.
Additional Strengths
- Experience with multi‑cloud or multi‑region data portability, particularly in regulated environments.
- Built privacy‑preserving data pipelines or interfaces for ML workloads.
- Experience with enterprise data contracts or zero‑data retention architectures.
- Explored novel approaches to data processing under strict access constraints, such as in‑memory storage and compute for sensitive data.
- Passion for building diverse and inclusive teams.
Annual Salary
- $405,000—$485,000 USD
- £325,000—£390,000 GBP
Logistics
- Education requirement: Bachelor’s degree in a related field or equivalent experience.
- Location‑based hybrid policy: Expect all staff to be in one of our offices at least 25% of the time; some roles may require more time in our offices.
- Visa sponsorship: We sponsor visas; however, we may not be able to sponsor every role and every candidate. If made a offer, we will make every reasonable effort to obtain a visa.
Benefits
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- Collaborative office environment.
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