Cerebras Systems
Technology
Senior/StaffTechnicalProgramManager-DatacenterCapacityDelivery(E2E)
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“Senior / Staff Technical Program Manager - Datacenter Capacity Delivery (E2E) at Cerebras Systems. Skills: Datacenter Capacity Delivery, E2E Delivery, AI Infrastructure. Own delivery of AI-optimized data center capacity. Deliver MW-scale infrastructure”
What You'll Achieve.
Deliver data center capacity; Align infrastructure to targets; Improve delivery through standardization; Support rapid global expansion
Industry & Context.
Risk resolution; Constraint resolution; Blocker resolution
Up to 50% travel
What They're Looking For.
Must Have
12-15+ years mission-critical facilities, 12-15+ years data center operations, Manage multi-site, vendor-heavy environments, Expertise in electrical systems, Expertise in mechanical systems, Proven track record improving uptime, Proven track record improving performance
Nice to Have
Experience at hyperscalers, Experience at neo-cloud companies, Experience at AI infra companies, Familiarity with high-density AI workloads, Familiarity with liquid cooling, Familiarity with >30kW racks, Familiarity with GPU clusters, Experience with utility engagement, Experience with power delivery constraints, Experience with long-lead supply chain planning, Experience with commissioning, Experience with data center handover, Ability to operate in high-growth environments, Ability to operate in ambiguous environments, Ability to operate with limited structure, Executive presence, Ability to influence without authority
What You'll Do.
Own delivery of AI-optimized data center capacity
Deliver MW-scale infrastructure
Drive clarity from ambiguity
Translate demand signals into programs
Decompose complex build programs
Build integrated plans
Establish critical path visibility
Aggressively manage schedule compression
Orchestrate execution across teams
Act as primary interface with providers
Identify and resolve critical risks
Maintain program budgets
Maintain CapEx forecasts
Provide structured updates
Provide escalation paths
Partner with capacity planning teams
Optimize for time-to-capacity
Optimize for cost-per-MW
Optimize for cost-per-GPU
Drive E2E improvements
Standardize build processes
Standardize commissioning processes
Implement program tooling
Capture lessons learned
Establish scalable mechanisms
Serve as SSOT for program health
Deliver concise updates to executives
How You'll Work.
Team & Collaboration
Cross-functional execution; Internal teams; External partners; Colocation providers; EPCs; Utilities; Key vendors; Capacity planning teams; AI infrastructure teams; Finance teams; Distributed teams
Communication Scope
Executive updates; High-signal updates
Process & Methodology
Program management, Schedule management, Risk management, Budget management, CapEx forecasting, Capital allocation
Full Job Description
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. 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 de
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