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Engineering Manager (Scheduler and Fleet Efficiency)

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Onsite

Engineering Manager (Scheduler and Fleet Efficiency)

Anthropic

Engineering Manager (Scheduler and Fleet Efficiency)

Skills

Machine LearningKubernetes

2 months ago

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Important information


Contract type:

Permanent

Salary:

$405,000 – $485,000 / year

Location:

New York, NY, USA

Work mode:

Onsite

Published on:

7 September 2026

What they need


  • We’re looking for an engineering manager to lead this team
  • The scheduler is on the critical path for nearly all of Anthropic’s compute, and the mandate is expanding quickly: making scheduling work seamlessly across a growing, heterogeneous fleet; raising utilization while keeping jobs starting fast; making the system’s decisions predictable and explainable to the people who depend on it; and making the job-launch experience something researchers rarely have to think about
  • You’ll lead a team building infrastructure that the entire research and product organization depends on, and you’ll partner closely with capacity planning, research, inference, and product teams to make efficient use of the fleet
  • Lead and grow a team of engineers building Anthropic’s scheduling platform, job-launch tooling, and fleet-efficiency systems, owning planning, execution, and delivery against key milestones
  • Set technical direction for scheduling, placement, queueing, and quota across Anthropic’s 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 the metrics that measure fleet efficiency and scheduling quality (utilization, queue wait, job-start latency, etc.) and hold the team accountable to them
  • Create clarity for the team and stakeholders in an ambiguous, fast-moving environment where demand for compute routinely exceeds supply
  • Take an inclusive, equitable approach to hiring, coaching, and career development, and sustain a high-performing, healthy team
  • Represent the team across the engineering organization and contribute to engineering-wide initiatives as a member of Anthropic’s engineering management group

Benefits

  • Comprehensive health, dental, and vision insurance for you and your dependents
  • Inclusive fertility benefits via Carrot Fertility
  • 22 weeks of paid parental leave
  • Flexible paid time off and absence policies
  • Mental health support for you and your dependents
  • Competitive salary and equity packages
  • Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
  • Retirement plans with competitive matching
  • Life and income protection plans
  • $500/month flexible wellness and time saver stipend
  • Commuter benefits
  • Annual education stipend
  • Home office stipends
  • Relocation support for those moving for Anthropic
  • Daily meals and snacks in the office- Excellent written and verbal communication skills, including the ability to create clarity across teams
  • Experience building or operating large-scale distributed or infrastructure systems in production
  • Experience managing and growing a team of software engineers
  • Working knowledge of Kubernetes and cluster scheduling concepts, such as resource requests and limits, affinity, priority and preemption, and custom schedulers or controllers
  • A hands-on software engineering background as an individual contributor prior to moving into management
  • We encourage you to apply even if you do not believe you meet every single qualification
  • 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
  • Experience building developer tooling that other engineers rely on every day
  • Familiarity with scheduling ML workloads on accelerators and the tradeoffs between utilization, fairness, and latency
  • A background in observability or incident response for control-plane systems, and a track record of improving production reliability
  • A track record of building a culture of belonging and of engineering excellence
  • Low ego, high empathy, and a habit of leading by example

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