Engineering Manager, Scheduler and Fleet Efficiency

About the role

Anthropic is looking for an Engineering Manager to lead the Scheduler team that powers the company’s massive compute fleet. You will own the scheduling platform, job‑launch tooling, and fleet‑efficiency systems that enable researchers and engineers to run AI workloads reliably and quickly.

Key responsibilities

• Lead and grow a team building Anthropic's scheduling platform, job‑launch tooling, and fleet‑efficiency systems.
• Set technical direction for scheduling, placement, queueing, and quota across the compute fleet.
• Partner with capacity planning, research, inference, and product teams to bring workloads onto the paved path and make efficient scheduling decisions.
• 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 (utilization, queue wait, job‑start latency) and hold the team accountable.
• Create clarity for the team and stakeholders in an ambiguous, fast‑moving environment where demand routinely exceeds supply.
• Take an inclusive, equitable approach to hiring, coaching, and career development while sustaining a high‑performing, healthy team.

Required profile

• Proven experience leading engineering teams that build large‑scale infrastructure.
• Ability to set technical direction and make trade‑offs for scheduling, placement, and quota management.
• Strong collaboration skills with cross‑functional groups such as capacity planning, research, inference, and product.
• Data‑driven mindset with experience defining and tracking operational metrics.
• Commitment to inclusive hiring practices and fostering a healthy team culture.

Required skills

• Kubernetes
• Scheduling systems
• Queueing mechanisms
• Quota management
• Metrics tracking and analysis