Anthropic
Engineering Manager, Scheduler and Fleet Efficiency
$405K–$485K
San Francisco, CA +2 · Manager · Full-time · Posted Sep 1, 2026
- Location
- San Francisco, CA
New York City, NY
San Francisco, California, United States - Experience
- Minimum years correlate with internal job level requirements; preferred: 5+ years of engineering management experience.
- 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 says it will make every reasonable effort to obtain a visa.
About the job
Leads the team building Anthropic’s Kubernetes scheduling platform, job-launch tools, and fleet-efficiency systems, coordinating across teams to improve compute allocation and utilization.
What you'll do
- Lead, grow, and deliver the team’s scheduling, job-launch, and fleet-efficiency work.
- Set technical direction and roadmap for scheduling, placement, queueing, quotas, and fleet utilization.
- Partner across the organization and track metrics for scheduling quality and fleet efficiency.
What they ask for
- Experience managing and growing software engineers; prior hands-on software engineering experience as an individual contributor.
- Experience building or operating large-scale distributed or infrastructure systems in production.
- Working knowledge of Kubernetes and cluster scheduling concepts, including resource requests and limits, affinity, priority and preemption, and custom schedulers or controllers.
- Strong written and verbal communication skills, including creating clarity across teams.
Nice to have
- 5+ years of engineering management experience, including leading infrastructure, platform, or compute teams.
- Experience owning a cluster scheduler, job orchestration system, or resource manager at scale.
Pay
$405,000 — $485,000 USD annual salary (base salary)
Tools
Kubernetes
Model-written summary · the original posting is authoritative