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Crux AI

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

Regional Director of Construction

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

About the Job

Requirements

  • At least 10 years of construction management experience on large technical projects, including ground-up greenfield delivery; direct data center experience is strongly preferred. Deep working knowledge of electrical and mechanical systems, codes, and fire protection is required.
  • Owner-side or owner's-representative accountability for safety, quality, schedule, Guaranteed Maximum Price (GMP) accuracy, and change order negotiation on projects of $250 million or more.
  • Fast-track delivery experience, including schedule acceleration decisions, prefabrication strategies, and construction inside or around live or partner facilities.
  • Fluent with AI agents, or committed to becoming fluent quickly, and able to embed them as first principles in team workflows.
  • Hands-on leadership, commercial judgment in change orders and claims, ability to work through ambiguity, and realistic schedule forecasting anchored in external-dependency risks.

Responsibilities

  • Own onsite execution for one or more projects, including the safety and quality programs, schedule milestones, and weekly financial, schedule, and quality reporting to the executive team.
  • Manage general contractor and trade partner relationships, including buyout, change order negotiation, forecast accuracy, and claims avoidance; manage tenant-improvement work inside partner shells.
  • Track and drive schedule dependencies including utility energization, permitting and inspections, easements, long-lead equipment, and general contractor mobilization, assigning each a gated milestone, owner, and remedy.
  • Own owner-furnished equipment through the site, including procurement coordination, delivery logistics, storage, installation sequencing, and vendor quality assurance and quality control for switchgear, generators, cooling plant, and TPU infrastructure.
  • Maintain cost discipline by separating elected scope additions from market-driven cost movement in forecasts and maintaining a decision record.
  • Drive schedule improvements that reduce field labor, including prefabricated skids, power modules, and cooling assemblies, and hold designs accountable for field labor content in constructability reviews.
  • Lead construction-to-commissioning-to-operations handoff, including commissioning support through Level 5 and integrated systems testing, punch list completion, turnover packages, and warranty management in live facilities.
  • Establish the construction playbook for contracting strategy, prefabrication approach, and reporting cadence for subsequent projects.

Desired Qualifications

  • Direct data center experience.
  • Experience with high-density AI or high-performance computing builds, including liquid cooling, 100 kW-plus racks, and large uninterruptible power supply or generator plants.
  • Experience delivering fit-outs inside third-party powered shells or colocation partner facilities.
  • Fluency with Procore, Autodesk Construction Cloud, Unifier, or a similar project controls stack.
  • Commissioning management exposure on mission-critical projects, including Levels 1–5 and integrated systems testing.
  • Experience at a hyperscaler or neocloud during a multi-site construction ramp.

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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