Cerebras Systems, Inc.
Senior Staff Technical Program Manager Inference Capacity
Technical program manager role at Cerebras overseeing capacity planning, forecasting, allocation, and utilization for AI inference clusters. Day to day this means coordinating customer deployments, model launches, and datacenter bring-up, driving incident resolution and postmortems, and using tools like SQL, Grafana, Python, Jira, and Confluence.
- Compensation
- Not disclosed
- Location
- Sunnyvale, CA; Remote; Toronto, CAN
- Work setup
- Hybrid
- Seniority
- Staff
- Employment
- Not specified
- Experience
- Not specified
- Category
- Project management
- Posted
Skills
Must have
- Five or more years of technical program management or product operations experience in cloud infrastructure, ML serving, or capacity planning
- Experience leading cross-functional engineering, product, and operations programs
- Knowledge of inference serving, model replicas, batching, prefill, decode, KV cache, and accelerator scheduling
- SQL
- Grafana
- Python or Flux
- Experience with AI accelerator fleet operations
Full description
You will lead capacity planning, forecasting, allocation, and utilization reporting for inference clusters. You will coordinate customer deployments, model launches, datacenter bring-up, and capacity-management tool adoption; maintain execution records; and drive risk mitigation, incident resolution, and postmortems.
Responsibilities
- Run capacity planning, deployment tracking, utilization reporting, and forecasting
- Plan capacity for customer deployments and model launches
- Support new datacenter capacity bring-up and production readiness
- Coordinate cluster allocation, model placement, and rebalancing
- Drive adoption and improvement of capacity-management tools
- Identify and mitigate capacity risks and bottlenecks
- Lead capacity-related incident resolution and postmortems
- Maintain Jira epics and Confluence documentation
Requirements
- Five or more years of technical program management or product operations experience in cloud infrastructure, ML serving, or capacity planning
- Experience leading cross-functional engineering, product, and operations programs
- Knowledge of inference serving, model replicas, batching, prefill, decode, KV cache, and accelerator scheduling
- SQL
- Grafana
- Python or Flux
- Experience with AI accelerator fleet operations