Anthropic
Technical Program Manager, Safeguards (Infrastructure & Evals)
$290K–$365K
San Francisco, CA +3 · Manager · Full-time · Posted Feb 4, 2026
- Location
- San Francisco, CA
New York City, NY
Seattle, WA
San Francisco, California, United States - Experience
- Years of experience required will correlate with the internal job level requirements for the position.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field of study demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; if an offer is made, the company will make every reasonable effort to obtain a visa and provides an immigration lawyer.
About the job
Owns operational reliability and program delivery for Safeguards infrastructure and evaluation platforms supporting AI safety systems.
What you'll do
- Lead incident tracking, post-mortems, operational reviews, and follow-through on action items; establish and monitor SLOs with partner teams.
- Maintain runbooks and clear incident ownership, and coordinate cross-team infrastructure migrations and platform projects.
- Partner with evaluation engineering to scope and deliver evaluation-platform improvements, including self-serve capabilities and eval factory infrastructure.
What they ask for
- Technical program management experience, particularly in operational or infrastructure-heavy environments.
- Understand production ML systems well enough to triage incidents and discuss technical issues with engineers.
- Coordinate effectively across team boundaries and manage operational work alongside longer-term projects.
- Experience with or strong interest in AI safety.
Nice to have
- Experience with SRE practices, incident management, or large-scale on-call operations; familiarity with PagerDuty, Datadog, or equivalent tools.
- Experience with ML evaluation infrastructure or complex, multi-team infrastructure migrations.
Pay
$290,000 — $365,000 USD (base salary)
Tools
PagerDuty, Datadog
AI focus
Supports the reliability and evaluation infrastructure that keeps AI systems safe in production, including safety-critical classifiers, detection pipelines, monitoring systems, and evaluation platforms.
Model-written summary · the original posting is authoritative