Lead Engineering Manager, Scheduler & Fleet Efficiency

Anthropic; New York (NY); Hybrid; USD 405,000 - 485,000; Full time

Job summary

Anthropic is seeking an engineering manager to lead the Scheduler team responsible for the compute fleet and job-launch tooling. You will guide a group building scalable infrastructure that researchers rely on, coordinating with capacity planning, research, inference, and product functions to optimize utilization and latency.

The role emphasizes hands-on leadership, strategic direction for scheduling, and fostering an inclusive, high-performing team across a fast-moving research and product

Qualifications

• Experience managing software engineers and growing a team.
• Hands-on software background before moving into management.
• Experience with large-scale distributed or infra systems.
• Knowledge of Kubernetes and cluster scheduling concepts.
• Excellent written and verbal communication skills.

Responsibilities

• Lead and grow a team building scheduling platform and fleet-efficiency systems.
• Set direction for scheduling, placement, queueing, and quotas.
• Collaborate with capacity planning, research, and product teams.
• Drive roadmap for scheduler capabilities and developer experience.
• Define metrics for fleet efficiency and scheduling quality.
• Maintain clarity in a fast-moving environment and hire inclusively.
• Represent the team within engineering management.

Skills

Team management

Distributed systems

Kubernetes

Communication skills

Infrastructure

Education

Bachelor's degree

Tools

Cluster scheduling

Job description

Anthropic is seeking an engineering manager to lead the Scheduler team responsible for the compute fleet and job-launch tooling. You will guide a group building scalable infrastructure that researchers rely on, coordinating with capacity planning, research, inference, and product functions to optimize utilization and latency.

The role emphasizes hands-on leadership, strategic direction for scheduling, and fostering an inclusive, high-performing team across a fast-moving research and product