Anthropic
Technical Program Manager, Inference
$290K–$435K
San Francisco, CA +3 · Manager · Full-time · Posted Oct 14, 2026
- Location
- San Francisco, CA
New York City, NY
Seattle, WA
San Francisco, California, United States - Experience
- 7+ years in the stated TPM or equivalent engineering/SRE lead experience. Logistics separately says required years correlate with internal job level.
- 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 an immigration lawyer.
About the job
Own end-to-end programs that scale Claude’s inference serving fleet and improve its infrastructure, engineering velocity, performance, and reliability across accelerator and cloud platforms.
What you'll do
- Coordinate capacity, infrastructure, reliability, and migration programs across teams and partners.
- Improve inference engineering workflows and track performance and efficiency work through measured production impact.
- Coordinate roadmaps and priorities for production, research, safeguards, and model launches.
What they ask for
- 7+ years as a TPM or equivalent engineering/SRE lead, owning large multi-team infrastructure programs end to end in production distributed systems, ML infrastructure, or cloud platforms.
- Technical fluency in large-scale serving infrastructure, including routing, autoscaling, capacity planning, orchestration, deployment, and observability.
- Working understanding of LLM inference hardware use, or a track record of rapidly learning unfamiliar technical domains.
- Demonstrated ability to build program mechanisms, drive outcomes across organizations, and communicate clearly in writing.
Nice to have
- Direct experience with LLM or ML inference serving at scale, accelerator infrastructure, multi-cloud capacity, developer productivity, performance programs, or research infrastructure.
- Familiarity with Kubernetes-based orchestration and job scheduling; practical use of AI tools, automations, or agents.
Pay
$290,000 — $435,000 USD (base salary)
Tools
GPUs, TPUs, Trainium, Kubernetes, XLA, Triton, Neuron, Claude
AI focus
Manage programs for LLM inference serving and fleet operations; expected to explore AI-assisted program management and fleet operations. Practical use of AI tools in the TPM’s workflow is preferred.
Model-written summary · the original posting is authoritative