Engineering Manager, Scheduler & Fleet Optimization

Anthropic Limited; San Francisco, Northern (CA, KY); Hybrid; USD 405,000 - 485,000; Full time

Job summary

Anthropic is seeking an Engineering Manager for the Scheduler and Fleet Efficiency team to lead the development of the scheduling platform, job-launch tooling, and fleet-utilization systems across a heterogeneous compute environment.

You will partner with capacity planning, research, inference, and product teams to optimize compute utilization while maintaining fast, reliable job launches for researchers and engineers. This role requires strong leadership and hands-on software experience.

Qualifications

• 5+ years of engineering management experience.
• Experience owning a cluster scheduler, job orchestration system, or resource manager at scale.
• Familiarity with scheduling ML workloads and tradeoffs between utilization, fairness, and latency.
• Experience building developer tooling used by engineers.
• Background in observability or incident response for control-plane systems.
• Track record of building a culture of belonging and engineering excellence.
• Low ego, high empathy, and leading by example.

Responsibilities

• Lead and grow a team of engineers building Anthropic's scheduling platform, job-launch tooling, and fleet-efficiency systems.
• Set technical direction for scheduling, placement, queueing, and quota across Anthropic's compute fleet.
• Drive the roadmap for scheduler capabilities, fleet utilization, and the developer experience of launching and managing jobs.
• Define and track metrics that measure fleet efficiency and scheduling quality and hold the team accountable.
• Create clarity for the team in a fast-moving environment where demand for compute exceeds supply.
• Hire inclusively and sustain a high-performing, healthy team.
• Represent the team across the engineering organization and contribute to engineering-wide initiatives.
• Experience managing and growing a team of software engineers.
• Hands-on software engineering background prior to management.
• Experience building or operating large-scale distributed or infrastructure systems.
• Working knowledge of Kubernetes and cluster scheduling concepts.
• Excellent written and verbal communication skills.

Skills

Engineering management

Team leadership

Software engineering

Large-scale distributed systems

Communication skills

Hiring & coaching

Cross-functional collaboration

Capacity planning

Mentoring

Tools

Kubernetes

Job description

Anthropic is seeking an Engineering Manager for the Scheduler and Fleet Efficiency team to lead the development of the scheduling platform, job-launch tooling, and fleet-utilization systems across a heterogeneous compute environment.

You will partner with capacity planning, research, inference, and product teams to optimize compute utilization while maintaining fast, reliable job launches for researchers and engineers. This role requires strong leadership and hands-on software experience.