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Engineering Manager, Scheduler and Fleet Efficiency

AnthropicSan Francisco, CA | New York City, NYSoftware Engineering - Infrastructure
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Salary
Not listed
Job type
Full-time
Posted
1 Sept 2026
Status
Open · checked 7d ago

About this role

Role Overview

The Engineering Manager, Scheduler and Fleet Efficiency role at Anthropic involves leading a specialized team that builds and optimizes the scheduling layer for a massive compute fleet. Based in San Francisco, CA or New York City, NY, this position suits an experienced engineering leader with a background in distributed systems who wants to support critical infrastructure for artificial intelligence research.

Key Responsibilities

Lead, mentor, and grow a team of software engineers responsible for the scheduling platform, job-launch tooling, and fleet-efficiency systems.
Establish technical direction covering workload placement, queueing, quota management, and scheduling logic across a heterogeneous compute fleet.
Collaborate closely with capacity planning, research, inference, and product teams to integrate workloads onto established infrastructure pathways.
Drive product and engineering roadmaps focused on expanding scheduler capabilities, boosting fleet utilization, and improving developer experience.
Define, track, and hold the team accountable for key metrics related to scheduling quality, such as utilization rates, queue wait times, and job-start latency.
Navigate an ambiguous, fast-paced environment where demand for compute frequently outstrips available supply.
Cultivate an inclusive, equitable culture centered on hiring, coaching, and long-term career development.
Represent the engineering team across the broader organization and contribute to company-wide engineering initiatives.

Requirements

Professional experience managing and growing software engineering teams.
A hands-on background as an individual contributor in software engineering prior to moving into management.
Proven experience building or operating large-scale distributed systems or infrastructure systems within production environments.
Working knowledge of Kubernetes and cluster scheduling concepts, including resource requests and limits, affinity rules, priority, preemption, and custom controllers.
Excellent written and verbal communication skills with the ability to build clarity across diverse cross-functional teams.
Minimum education of a Bachelor’s degree in a relevant field of study, or an equivalent combination of education, training, and experience.
Alignment with the location-based hybrid policy requiring regular time in one of the company offices.

Nice to Have

Five or more years of engineering management experience, specifically leading infrastructure, platform, or compute teams.
Practical experience owning a cluster scheduler, job orchestration system, or resource manager operating at scale.
Familiarity with scheduling machine learning workloads on specialized hardware accelerators and balancing tradeoffs between utilization, fairness, and latency.
Experience designing and building developer tooling relied upon by engineers on a daily basis.
Background in observability or incident response for control-plane systems, along with a track record of enhancing production reliability.
Demonstrated commitment to building a culture of belonging and engineering excellence.

Skills and Tools

Kubernetes
Cluster Scheduling Concepts
Distributed Systems
Developer Tooling
Infrastructure Management

Salary and Benefits

Annual salary range spanning from $405,000 to $485,000 USD.
Competitive compensation and benefits package.
Optional equity donation matching.
Generous vacation time and parental leave.
Flexible working hours and collaborative office spaces.
Visa sponsorship support provided for eligible candidates with the assistance of a retained immigration lawyer.

About the Company

Anthropic operates as a public benefit corporation dedicated to building reliable, interpretable, and steerable AI systems that remain safe and beneficial for society. The organization functions as a single cohesive team tackling large-scale empirical science and AI research challenges collaboratively. Staff members work alongside researchers, policy experts, and business leaders to advance frontier models and scale infrastructure safely.

How to Apply

Interested candidates should visit the official Anthropic careers page to submit an application for this position. Review all communications carefully to ensure correspondence originates from an official company email address.

Skills and tech stack

Kubernetes

Questions candidates ask

What is the location for this role?

The position is based in San Francisco, CA or New York City, NY, with a location-based hybrid policy requiring staff to work from an office for a portion of their time.

What is the salary range for the Engineering Manager, Scheduler and Fleet Efficiency?

The annual base salary ranges from $405,000 to $485,000 USD.

Does Anthropic offer visa sponsorship?

Yes, Anthropic does sponsor visas for eligible candidates and utilizes a retained immigration lawyer to assist with the process.

What technical background is required for this management position?

Candidates must have a hands-on software engineering background as an individual contributor, experience managing engineering teams, and working knowledge of Kubernetes and large-scale distributed systems.

What core team will this engineering manager lead?

The manager will lead the Scheduler team, which owns the scheduling layer for Anthropic's Kubernetes fleet, job-launch tooling, and fleet-efficiency systems.

Ready to apply?

The application is on the official Anthropic careers page.

Apply on company site