Compute Platform Product Manager: Scheduling & Scale

Neura Market; San Francisco (CA); Hybrid; USD 305,000 - 385,000; Full time

Benefits offered by this job

Competitive compensation

Optional equity donation matching

Generous vacation and parental leave

Flexible working hours

Collaborative office environment in SF

Job summary

Anthropic is seeking a Product Manager focused on Compute Platform to partner with Infrastructure, Compute Operations, Engineering, Finance, Strategy, and Research to build scheduling, orchestration, and capacity management systems that power our compute infrastructure—the foundation for model training, evaluation, and inference workloads.

You will own the strategy for job scheduling primitives, capacity allocation policies, preemption and fairness frameworks, quota management, and the

Qualifications

• Deep experience with compute infrastructure or scheduling/orchestration platforms.
• Proven ability to scale infrastructure products for demanding internal/external customers.
• Ability to balance utilization, latency, cost, and fairness across multiple users.

Responsibilities

• Define and own the semantic layer for job scheduling, including abstractions, priority tiers, and resource classes.
• Partner with engineering leads to design scheduling capabilities that maximize cluster utilization while honoring resource guarantees.
• Drive product strategy and roadmap for compute capacity management, including quotas, fairness, and bin-packing; establish observability.

Skills

Compute infrastructure

Scheduling

Orchestration

Product leadership

Stakeholder alignment

Cost optimization

Observability

Education

Bachelor's degree

Job description

Anthropic is seeking a Product Manager focused on Compute Platform to partner with Infrastructure, Compute Operations, Engineering, Finance, Strategy, and Research to build scheduling, orchestration, and capacity management systems that power our compute infrastructure—the foundation for model training, evaluation, and inference workloads.

You will own the strategy for job scheduling primitives, capacity allocation policies, preemption and fairness frameworks, quota management, and the