Engineering Manager, Scheduler and Fleet Efficiency
Anthropic · San Francisco, CA | New York City, NY · Software Engineering - Infrastructure · listed September 1, 2026
The shape of it
Seniority
Manager
Experience asked
5+ years
Where
Hybrid
Stated pay
$405,000 – $485,000 USD
Requirements listed
5
Length
1,195 words
In the posting’s own words
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.
What it asks for · 5
- Experience managing and growing a team of software engineers
- A hands-on software engineering background as an individual contributor prior to moving into management
- Experience building or operating large-scale distributed or infrastructure systems in production
- Working knowledge of Kubernetes and cluster scheduling concepts, such as resource requests and limits, affinity, priority and preemption, and custom schedulers or controllers
- Excellent written and verbal communication skills, including the ability to create clarity across teams
Also a plus
- 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
- Familiarity with scheduling ML workloads on accelerators and the tradeoffs between utilization, fairness, and latency
- Experience building developer tooling that other engineers rely on every day
- 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
What the job covers
- 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
Tools and skills named
Cloud & infra
- Kubernetes2×
- Observability
Models & research
- Inference2×
- Machine learning
Go to market
- Quota
Product & design
- Roadmap
Ways of working
- Mentorship
Words the posting leans on
- fleet8×
- scheduling8×
- experience7×
- compute6×
- engineering6×
- scheduler6×
- systems6×
- building5×
- engineers4×
- infrastructure4×
- utilization4×
- depends3×
- lead3×
- product3×
- researchers3×
- right3×
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