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

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:
• Real estate & site selection
• Power & energy strategy (utilities, PPAs, interconnects)
• Data center design (MEP, liquid cooling, high-density racks)
• Supply chain & long-lead equipment procurement
• Construction & commissioning
• Infrastructure deployment (rack/cluster install)
• Networking & backbone connectivity
• Security, compliance, and operations readiness
• Act as the primary interface with colocation providers, EPCs, utilities, and key vendors.
• Risk, Cost & Governance
• Identify and drive resolution of critical risks, constraints, and blockers across power, equipment, permitting, and supply chain.
• Own and maintain program budgets, CapEx forecasts, and capital allocation narratives.
• Provide structured updates and escalation paths to executive leadership.
• Demand & Capacity Planning Integration
• Partner with capacity planning, AI infrastructure, and finance teams to translate model demand into site-level capacity strategies.
• Align build plans with power availability, network topology, and hardware rollout schedules.
• Continuously optimize for time-to-capacity and cost-per-MW / cost-per-GPU deployed.
• Operational Excellence
• Drive E2E improvements in delivery through:
• Standardization of build and commissioning processes
• Implementation of program tooling and dashboards
• Post-mortems and lessons learned loops
• Establish scalable mechanisms to support rapid global expansion.
• Communication & Leadership
• Serve as SSOT for program health, milestones, and risks.
• Deliver concise, high-signal updates to senior executives.
• Operate effectively across distributed teams with up to 50% travel.

Requirements

• 12-15+ years in mission-critical facilities or data center operations
• Experience managing multi-site, vendor-heavy environments
• Strong expertise in electrical and mechanical systems
• Proven track record in improving uptime and performance
• Experience at hyperscalers (Google, Meta, Microsoft, AWS) or neo-cloud / AI infra companies (CoreWeave, Lambda, etc.).
• Familiarity with high-density AI workloads (liquid cooling, >30kW racks, GPU clusters).
• Experience with:
• Utility engagement and power delivery constraints
• Long-lead supply chain planning (transformers, switchgear, chillers)
• Commissioning and data center handover processes
• Ability to operate in high-growth, ambiguous environments with limited structure.
• Strong executive presence and ability to influence without authority.
• What sets you apart
• Extreme ownership mindset - you treat capacity delivery as a personal SL

Benefits

Additional Information

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top 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. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, 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.

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