This Technical Program Manager role at Anthropic focuses on ensuring the reliability of the Safeguards Engineering infrastructure, overseeing incident response, SLOs, runbooks, platform migrations, and evaluation platform improvements. The position requires strong technical program management skills, familiarity with production ML systems, incident management, and AI safety, and is based in San Francisco with additional offices in New York City and Seattle.
Technical Program Manager, Safeguards (Infrastructure & Evals) at Anthropic
On-site - San Francisco, CA, USA; New York City, NY, USA; Seattle, WA, USA
More jobs at AnthropicRequirements
Skills
- Have solid technical program management experience, particularly in operational or infrastructure-heavy environments — you're comfortable owning a mix of ongoing operational cadences and discrete project work simultaneously.
- Understand how production ML systems work well enough to triage incidents intelligently and have substantive conversations with engineers about what's going wrong and why — you don't need to write the code, but you need to follow the technical thread.
- Are energized by closing loops. Post-mortem action items that never get done, SLOs that no one checks, runbooks that go stale — these things bother you, and you know how to build the processes and follow-ups that fix them.
- Can work effectively across team boundaries — comfortable coordinating with partner teams (like Inference) where you don't have direct authority, and skilled at keeping shared work moving through influence and clear communication.
- Thrive in environments where the work shifts between "keep the lights on" and "build something new" — and can context-switch between incident follow-ups and longer-horizon platform projects without dropping either.
- Have experience with or strong interest in AI safety — you understand why the reliability of a safety‑critical pipeline is a different kind of problem than the reliability of a product feature, and that distinction motivates you.
- Have experience with SRE practices, incident management frameworks, or on-call operations at scale.
- Have worked on or with evaluation infrastructure for ML systems — understanding how evals get designed, run, and interpreted.
- Have experience driving infrastructure migrations in complex, multi-team environments — particularly where the migration touches operational systems that can't go offline.
Responsibilities
- Own the Safeguards Engineering ops review – drive the recurring cadence that keeps the team informed and coordinated: surfacing recent incidents and failures, bringing visibility to reliability trends, and making sure the right people are in the room when decisions need to be made.
- Drive incident tracking and post‑mortem execution – when incidents happen, track them across the organization, ensure post‑mortems are written, and close the loop on action items to guarantee they are completed.
- Establish and maintain SLOs with partner teams – work with Safeguards Engineering, Inference, and Cloud Inference to define service‑level objectives for safety‑critical pipelines and build tracking and reporting to surface whether SLOs are met.
- Maintain runbook quality and incident‑ownership clarity – partner with engineering leads to keep runbooks accurate, actionable, and up‑to‑date, ensuring clear ownership of incidents across the system.
- Drive platform migrations and infrastructure projects – manage larger infrastructure work on the roadmap, coordinating cross‑team efforts for migrating platforms, incident tools, and cloud monitoring systems.
- Coordinate evals platform improvements – partner with the evals engineering team to drive improvements to the evaluation platform, including self‑serve capabilities and the broader eval factory infrastructure.
Technologies
SLOsRunbooksIncident managementSRE practicesEvaluation platformsML systemsCloud monitoring
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