[Hiring] Staff TPM - Datacenter Delivery @Cerebras Systems

Role Description

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.

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

Requirements

• Experience at hyperscalers (Google, Meta, Microsoft) 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.

Benefits

• 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.

Company Description

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. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups.