Drimva

Anthropic

Engineering Manager, Agent Runtime Platform

$405K–$485K

San Francisco, CA +2 · Manager · Full-time · Posted Jul 9, 2026

Location
San Francisco, CA
New York City, NY
San Francisco, California, United States
Experience
10+ years building and operating large-scale platforms or distributed systems; 1+ years of technical management experience. The posting also says required years correlate with internal job level requirements.
Education
Bachelor’s degree or an equivalent combination of education, training, and/or experience; a field relevant to the role, demonstrated through coursework, training, or professional experience.
Visa sponsorship
Visa sponsorship is offered, but may not be available 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

Leads a team building and operating secure, scalable runtime infrastructure and tooling for Anthropic’s internal agents.

What you'll do

  • Own technical strategy and roadmap, manage execution, and stay hands-on building and shipping the platform.
  • Define secure agent execution with security partners, including sandboxing, isolation, and credential management.
  • Own infrastructure scalability and reliability, and collaborate with internal teams deploying agents.

What they ask for

  • 10+ years building and operating large-scale platforms or distributed systems.
  • 1+ years of technical management experience, particularly building platforms or agents at scale.
  • Experience with container or VM orchestration at scale.
  • Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field of study.

Nice to have

  • Engineering management experience alongside a strong individual-contributor track record.
  • Experience with harness engineering or security-sensitive infrastructure.

Pay

$405,000 — $485,000 USD (base salary)

Tools

container, VM, cloud providers

AI focus

Builds secure runtime infrastructure for internal agents that perform engineering and knowledge work; the role focuses on enabling their safe deployment and operation at scale.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)