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Crux AI

Compute-as-a-service platform for large AI workloads

Technical Program Manager - Pipeline Evaluation

Supply Chain ManagementConfirmed live in the last 24 hours
Full-timePalo Alto, CA, USA

About the Job

Requirements

  • At least 8 years of experience in technical program management, capacity planning, or supply/demand planning for cloud, hardware, or other capital-intensive infrastructure.
  • Direct experience evaluating a multi-project portfolio as a system, weighing and sequencing opportunities and making recommendations across dozens of live projects.
  • Quantitative fluency in capacity, cost, and schedule modeling, with the ability to defend the numbers independently.
  • High tolerance for ambiguity in a portfolio that changes weekly and without a formal specification.
  • Fluency with AI agents or a commitment to becoming fluent quickly, and the ability to embed them as first principles in work and default to agentic workflows before adding headcount or process.

Responsibilities

  • Own the ongoing match between projected TPU/chip supply and Crux's data center capacity pipeline, informing build-or-lease, land, and lease-capacity decisions.
  • Evaluate the active portfolio of more than 40 live project possibilities as a weighted, categorized system and produce recommendations for leadership.
  • Maintain the master interdependency tracker linking chip supply, site readiness, and capacity commitments, surfacing resource conflicts and sequencing risk before they cause delays.
  • Build and own the capacity plan of record, and drive cross-functional accountability across Finance, Development, and Operations to keep it current.
  • Partner with Google's supply-side teams to translate chip delivery timelines into actionable capacity decisions.
  • Run scenario analysis on supply delays, demand shifts, and site delays, quantifying utilization and financial impact for each.
  • Use AI-agentic workflows by default for portfolio modeling and scenario analysis.

Desired Qualifications

  • Experience with GPU or TPU capacity planning, including cluster deployments, chip allocation, or accelerated-compute fleet management.
  • Familiarity with data center development timelines, power procurement, and site readiness milestones.
  • Background in operations research, portfolio optimization, or capital allocation modeling.
  • Neocloud or hyperscaler experience (CoreWeave, Nebius, Nscale, Lambda, Google, AWS, Meta, or Microsoft) in a capacity or supply-planning role.

About the Company

Crux AI

Compute-as-a-service platform for large AI workloads

Crux AI offers compute-as-a-service for large-scale AI workloads by combining power, high-density data centers, networking, and accelerated computing into a single managed platform. It uses Google’s TPU hardware and software, with Crux AI acting as the single accountable partner from long-term capacity planning to production deployment. The company differentiates itself by delivering a reliability-engineered TPU-based infrastructure backed by Google and Blackstone, focused on end-to-end, turnkey management rather than generic cloud services. Its goal is to help customers scale demanding AI workloads with an enterprise-grade, dependable infrastructure and support.

Company size
1-10
Company stage
Debt Financing
Total funding
$22B
Headquarters
Palo Alto, CA
Founded
2026

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