How much experience is required?

12–15 years of relevant experience for this Senior / Staff Technical Program Manager - Datacenter Capacity Delivery (E2E) role.

Where is the role based?

Cerebras Systems is hiring for this position in San Francisco Bay Area, US.

What's the tech stack?

Joblaze extracted these technologies from the posting: Construction, power/energy, Data Center, Networking, Real Estate, AI/ML.

What seniority level is this role?

Cerebras Systems targets staff-level candidates for this position.

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

Joblaze summary

The Senior/Staff Technical Program Manager for Datacenter Capacity Delivery at Cerebras Systems is responsible for overseeing the entire process of delivering AI-optimized data center capacity, from initial planning to operational readiness. This role requires expertise in managing complex, multi-site environments and a strong understanding of electrical and mechanical systems, particularly in high-density AI workloads. It is well-suited for seasoned professionals with a background in mission-critical facilities, especially those who thrive in fast-paced, ambiguous settings. The position plays a crucial part in supporting Cerebras' rapid growth and innovative AI architecture.

Joblaze insights

Listed today on Joblaze — tracked directly from Cerebras Systems's career page.
Cerebras Systems has 94 other open roles including Director / Senior Director, Critical Facility Operations , Security & IT General Opportunities, Mechanical Engineer.
1660 active AI/ML roles on Joblaze right now.
84 active infrastructure roles on Joblaze right now.
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Quick facts

Is the Senior / Staff Technical Program Manager - Datacenter Capacity Delivery (E2E) role remote?: It's hybrid — Cerebras Systems expects some on-site time in San Francisco Bay Area, US.
How much experience is required?: 12–15 years of relevant experience for this Senior / Staff Technical Program Manager - Datacenter Capacity Delivery (E2E) role.
Where is the role based?: Cerebras Systems is hiring for this position in San Francisco Bay Area, US.
What's the tech stack?: Joblaze extracted these technologies from the posting: Construction, power/energy, Data Center, Networking, Real Estate, AI/ML.
What seniority level is this role?: Cerebras Systems targets staff-level candidates for this position.
Is this full-time or contract?: Full-time for this Senior / Staff Technical Program Manager - Datacenter Capacity Delivery (E2E) role at Cerebras Systems.

From the original posting

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 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.

Skills & Qualifications

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

Preferred Qualifications

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 SLA.
Ability to move fast without breaking systems, balancing urgency with rigor.
Comfort operating at the intersection of hardware, real estate, and software scaling demands.
Clear, structured communicator who can turn chaos into executable plans.
Bias for action with a track record of delivering results under pressure.

Location: US (preferred SF Bay Area / remote with travel)

Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

Build a breakthrough AI platform beyond the constraints of the GPU.
Publish and open source their cutting-edge AI research.
Work on one of the fastest AI supercomputers in the world.
Enjoy job stability with startup vitality.
Our simple, non-corporate work culture that respects individual beliefs.

Read our blog: Five Reasons to Join Cerebras in 2026.

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

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