Senior / Staff Technical Program Manager - Datacenter Capacity Delivery (E2E)

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. About The Role The DC Delivery E2E TPM is the single-threaded owner for delivering data center capacity from forecast → site strategy → design → construction → infrastructure readiness → go-live. You will operate as the SSOT (Single Source of Truth) for delivery milestones, risks, and capacity outcomes while orchestrating cross-functional execution across internal teams and external partners. This is a frontier-scale role where ambiguity is high, timelines are compressed, and stakes are critical to company growth. Responsibilities End-to-End Capacity Delivery Own delivery of AI-optimized data center capacity (colo, build-to-suit, retrofits, and owned facilities) from pre-contract planning through operational readiness. Deliver MW-scale infrastructure aligned to aggressive GPU/AI system deployment targets. Drive clarity from ambiguity—translate high-level demand signals into executable delivery programs. Program Structuring & Execution Decompose complex build programs into workstreams with clear owners, milestones, and deliverables. Build integrated plans spanning real estate, power/energy, design, procurement, construction, and deployment. Establish critical path visibility and aggressively manage schedule compression. Cross-Functional Leadership Orchestrate execution across: