Cerebras Systems

Technology

Senior/StaffTechnicalProgramManager-DatacenterCapacityDelivery(E2E)

$195–275k ~AI est. Sunnyvale, California, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior / Staff Technical Program Manager - Datacenter Capacity Delivery (E2E) at Cerebras Systems. Skills: Capacity Delivery, Data Center, Program Management, Cross-functional Leadership. Own delivery of AI-optimized data center capacity. Deliver MW-scale infrastructure”

What You'll Achieve.

Deliver data center capacity; Align to deployment targets; Improve uptime; Improve performance

Industry & Context.

Technology
Problems you'll solve

Risk resolution; Constraint resolution; Blocker resolution

Eligibility Requirements

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 environments, Manage vendor-heavy environments, Electrical systems expertise, Mechanical systems expertise, Improve uptime track record, Improve performance track record

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, Utility engagement experience, Power delivery constraints experience, Long-lead supply chain planning experience, Commissioning experience, Data center handover experience, Operate in high-growth environments, Operate in ambiguous environments, Limited structure experience, Executive presence, Influence without authority

What You'll Do.

Own delivery of AI-optimized data center capacity

Deliver MW-scale infrastructure

Align infrastructure to deployment targets

Translate demand signals into programs

Decompose build programs into workstreams

Build integrated plans

Establish critical path visibility

Manage schedule compression

Orchestrate execution across teams

Act as primary interface with providers

Identify critical risks

Drive resolution of constraints

Maintain program budgets

Maintain CapEx forecasts

Provide structured updates

Provide escalation paths

Partner with capacity planning teams

Align build plans with power

Align build plans with network

Align build plans with hardware

Optimize for time-to-capacity

Optimize for cost-per-MW

Optimize for cost-per-GPU

Drive E2E delivery improvements

Standardize build processes

Standardize commissioning processes

Implement program tooling

Incorporate lessons learned

Establish scalable mechanisms

Support global expansion

Serve as SSOT for program health

Deliver concise executive updates

Operate effectively across distributed teams

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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