Senior Staff Technical Program Manager Inference Capacity
Cerebras Systems, Inc.Visit Cerebras Systems, Inc. website
Cerebras builds wafer-scale AI computing systems and a cloud inference platform for training, fine-tuning, and serving AI models.
Sunnyvale, California, United States
About Cerebras Systems, Inc.
Cerebras Systems is an AI-infrastructure company founded in 2015. It sells rack-scale wafer-scale computing systems and provides cloud-based, API-accessible AI inference alongside on-premises deployments.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
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.
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
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