Engineering Manager, Safeguards Interventions

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The Safeguards team ensures models and products are developed and deployed safely. The Interventions team owns the composable arsenal of systems that sit between the detection stack (classifiers and probes) and the user across every Anthropic surface (first-party products, the API, and third-party clouds). This includes inline interventions for areas like bio, cyber, and acceptable usage, as well as downstream areas like child safety and copyright. The team is responsible for evolving and improving the quality of interventions to enable product growth while maintaining safety.

Responsibilities

• Hands-on lead and grow a team of engineers; own roadmap, OKRs, and execution.
• Drive cross-functional work with ML Infrastructure, Research, Product, Policy, and Legal — and with cloud partners for third-party deployment.
• Set the bar for when an intervention is good enough to ship, backed by measurement, and represent safety and product tradeoffs to leadership and external stakeholders.
• Own production reliability for intervention and compliance systems: incident response, postmortems, SLOs, and verification processes that prevent repeat incidents.

Minimum qualifications

• Experience managing engineering teams shipping production ML or safety-enforcement systems where the system's decisions directly affected users.
• Experience running high-stakes, compliance-adjacent production systems: comfortable with on-call, incidents, regulator-driven requirements, and building process scaffolding that prevents recurrence.
• Strong focus on measurement: built or insisted on evaluations that prove a system does what it claims, and ability to terminate systems that don't meet standards.
• Ability to drive ambiguous, multi-stakeholder tradeoffs (safety vs UX vs latency vs cost) to a decision and own the outcome.
• Deep interest in AI safety and motivation to make team's work enable deployment of advanced models.

Preferred qualifications

• Experience in trust & safety, integrity, or abuse-prevention engineering at scale.
• Experience with compliance-driven systems (child safety, copyright, age assurance) and working with legal/policy interfaces.
• Experience shipping systems across multiple cloud providers and understanding parity/verification challenges that creates.

Compensation

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

Logistics

• Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience.
• Required field of study: a field relevant to the role as demonstrated through coursework, training, or professional experience.
• Location-based hybrid policy: currently, all staff are expected to be in one of Anthropic's offices at least 25% of the time.
• Anthropic states they sponsor visas and retain an immigration lawyer to help with sponsorship, though sponsorship is not guaranteed for every role/candidate.

Benefits

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

How we're different

• Anthropic emphasizes large-scale, collaborative research efforts and values communication, impact, and interdisciplinary approaches to AI safety.