Staff Technical Program Manager, Data Center Data & Tooling
Cerebras · Sunnyvale, CA
About this role
## About Cerebras Cerebras Systems builds the world’s largest AI chip—an architecture designed to deliver industry-leading training and inference speeds (over 10× faster than GPU-based hyperscale cloud inference services). Cerebras works with leading model labs, global enterprises, and AI-native startups. ## About the Team The **Cerebras Data Center** team brings the infrastructure behind our AI systems online. We work across facility design, power and cooling, hardware, networking, supply chain, deployment, and operations to deliver reliable capacity. As our infrastructure expands, we build programs and repeatable processes that help teams execute across multiple sites. ## About the Role Cerebras is seeking a **Staff Technical Program Manager** to lead **data and tooling programs** that support data center planning, delivery, and operational handoff. You’ll turn fragmented project information into trusted data, useful workflows, and timely decisions. You’ll partner with infrastructure leaders, program managers, engineering, and business systems teams to define the roadmap, drive implementation, and establish adoption across the organization—connecting information across sites and functions so teams can understand dependencies, identify delivery risks, and act before milestones slip. ## Responsibilities - Own the **data and tooling roadmap** for the Data Center organization—translate stakeholder needs into prioritized requirements, milestones, and measurable outcomes. - Define shared **data models and metric definitions** for sites, capacity, delivery milestones, equipment readiness, costs, risks, and dependencies; establish clear data owners and update expectations. - Partner with engineering and business systems teams to integrate project, procurement, inventory, financial, and deployment information through reliable interfaces and workflows. - Build and validate analyses using **SQL** and lightweight automation; drive dashboards showing planned vs. actual progress, forecast changes, and constraints requiring action. - Lead tool evaluation and implementation (build-vs-buy, pilots, user acceptance testing, rollout, documentation, and training). - Establish **data quality checks**, reconciliation processes, change history, and access requirements so teams can trust information used in operating reviews. - Drive adoption across distributed teams—remove redundant reporting and measure improvements in data freshness, reporting effort, and decision turnaround. - Present program status and tradeoffs to leadership; escalate unresolved dependencies and improve the tooling roadmap based on user feedback and delivery outcomes. ## Required Qualifications - Experience leading complex technical programs across infrastructure, enterprise systems, data platforms, or large-scale operations—ownership from requirements through sustained adoption. - Ability to set direction across multiple teams, resolve competing priorities, and deliver organization-wide improvements without direct authority. - Strong **SQL** skills: validating datasets, defining metrics, and building operational dashboards; working knowledge of **Python** or comparable scripting for analysis/automation. - Ability to discuss APIs, data models, integrations, workflow design, and data quality requirements with engineers—and translate technical tradeoffs into program decisions. - Experience connecting operational data to delivery schedules, capacity, cost, or equipment readiness, incl
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