# Engineering Manager, Safeguards Interventions

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** San Francisco, CA
**Role:** Engineering Management
**Salary:** $405k – $485k/yr
**Experience:** 5+ years
**Skills:** Production Ml Systems, Safety Enforcement Systems, Incident Response, SLOs, Evals And Measurement, Trust And Safety, Compliance Systems, Multi-Cloud Deployment, Cross-Functional Collaboration, Ai Safety, On-Call Operations
**Posted:** 2026-07-10

> Lead the Interventions team on the Safeguards group at Anthropic. Own the systems that activate when safety detections fire, driving high-stakes production reliability, measurement-backed decisions, and cross-functional tradeoffs between safety, UX, and performance to enable safe model deployment.

## Job Description

## Key Responsibilities
- Hands-on lead and grow a team of engineers; own roadmap, OKRs, and execution.
- Drive cross-functional work with ML Infra, Research, Product, Policy, and Legal - and with cloud partners for 3P 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 the verification processes that prevent repeat incidents.

## Minimum Qualifications
- Have managed engineering teams shipping production ML or safety-enforcement systems where the system's decisions directly affected users.
- Have run high-stakes, compliance-adjacent production systems: comfortable with on-call, incidents, regulator-driven requirements, and building the process scaffolding that prevents recurrence.
- Care about measurement: you've built (or insisted on) the evals that prove a system does what it claims, and you've killed things that didn't.
- Can drive ambiguous, multi-stakeholder tradeoffs (safety vs UX vs latency vs cost) to a decision and own the outcome.
- Care deeply about AI safety and want your team's work to be the reason advanced models can be deployed at all.

## Preferred Qualifications
- Have worked in trust & safety, integrity, or abuse-prevention engineering at scale.
- Experience with compliance-driven systems (child safety, copyright, age assurance) and the legal/policy interfaces they require.
- Have shipped systems across multiple cloud providers and understand the parity/verification problems that creates.

## Education
- Minimum education: Bachelor’s degree or an 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

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