Drimva

Anthropic

Technical Program Manager, Infrastructure

$290K–$365K

San Francisco, CA +3 · Manager · Full-time · Posted Feb 5, 2026

Location
San Francisco, CA
New York City, NY
Seattle, WA
San Francisco, California, United States
Experience
5+ years of technical program management experience; logistics states years required correlate with internal job level requirements.
Education
Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field 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, Anthropic will make every reasonable effort to obtain a visa and provides immigration-lawyer support.

About the job

Coordinates cross-functional infrastructure programs to improve developer productivity, reliability, and scaling while aligning engineering, research, and product teams.

What you'll do

  • Drive programs for developer tooling, platform migrations, productivity improvements, and AI-assisted development workflows.
  • Establish reliability goals and coordinate incident response, operational processes, and infrastructure health metrics.
  • Align infrastructure, research, and product stakeholders on technical needs, priorities, and timelines.

What they ask for

  • 5+ years of technical program management experience delivering complex infrastructure programs in ML/AI systems or large-scale distributed systems.
  • Deep technical understanding of infrastructure systems sufficient to engage with engineers and identify technical risks.
  • Strong stakeholder management, communication, and ability to create structure in ambiguous environments.
  • Experience with developer productivity initiatives, CI/CD systems, or infrastructure scaling.

Nice to have

  • Experience with Kubernetes, cloud platforms (AWS, GCP, Azure), and ML infrastructure (GPU/TPU/Trainium clusters).
  • Background working with research teams, driving AI-tool adoption for engineering productivity, or familiarity with observability tooling.

Pay

$290,000 — $365,000 USD (base salary)

Tools

Kubernetes, AWS, GCP, Azure, GPU/TPU/Trainium clusters, CI/CD

AI focus

Lead initiatives integrating AI tools into development workflows and support AI infrastructure for frontier research and products.

Model-written summary · the original posting is authoritative

First seen Oct 8, 2026 · Last verified Nov 4, 2026 (UTC)