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Senior Staff Technical Project Manager - Spark Deployment

Crusoe· Strategic Initiatives
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Denver, CO - US, Brighton, CO - US$175k - $215kFull-timePosted 3w ago

About the role

Hardware Technical Project Manager responsible for end-to-end hardware development lifecycle for Crusoe's Spark modular data center, including scoping, planning, detailed design, and First-Of-A-Kind builds, working with cross-functional teams and external partners to enable rapid deployment of Spark modules.

Responsibilities

  • Manage the schedule, budget, and scope for Spark design programs - new product generations, incremental upgrades, or sub-assembly workstreams - from concept to mass production, including driving the Design-to-BoM process with respective stakeholders.
  • Synthesize inputs from a cross-functional team to capture engineering/design requirements and drive product-level decision making in partnership with product managers and design leads.
  • Partner with manufacturing to ensure Spark can be produced reliably at scale; drive configuration management, rev control, and CAD-to-shop floor details.
  • Foster a culture of proactive risk identification and mitigation.
  • Collaborate with Spark Business Unit to bring phase gate rigor to development projects, plan and host milestone reviews, and document lessons learned for continuous improvement.
  • Serve as the connective tissue between internal and external stakeholders to bring first-of-a-kind designs to fruition.
  • Schedule, plan, and run team meetings and multi-day design reviews with clear agendas, minutes, and action items.
  • Manage the scope of 3rd-Party firms to accelerate time to market and augment internal expertise.
  • Provide high-fidelity project status updates for executives and help develop Spark deployments dashboard.

Qualifications

  • 8-12+ years of experience managing high-tech physical product development programs and FOAK projects (e.g., data centers, distributed energy, advanced manufacturing, modular construction).
  • Mastery of more than one New Product Development phase-gate process (e.g., LOD, APQP, TRL).
  • Demonstrated scheduling software expertise and use of schedules for proactive decision making.
  • Technical breadth across electrical, mechanical, structural, EHS, network engineering, and manufacturing.
  • Experience managing multiple 3rd-party service providers affecting critical path.
  • Experience in manufacturing environments and NPI collaboration for prototype and FOAK builds; understanding of LOD drawing stages.
  • BOM & PLM fluency with complex configurations and part numbering; experience with PLM tools.
  • Excellent communication and organizational skills; ability to lead in ambiguity and drive world-class project management practices.
  • Ability to influence without authority and guide teams through collaboration and diplomacy.
  • Resilience to manage projects through supply chain headwinds and technical uncertainty.
  • Bachelor’s degree in a related field; PMP or CAPM certification preferred.

Skills

Required:Project managementRequirements managementNew Product IntroductionRisk managementPhase-gate processCross-functional coordinationContractor/vendor management

Benefits

  • Competitive compensation and equity packages
  • Restricted Stock Units
  • Paid time off, paid holidays & leave of absence programs
  • Comprehensive health, dental & vision insurance
  • Employer contributions to HSA account
  • Paid parental leave
  • Paid life insurance, short-term and long-term disability
  • Professional development & tuition reimbursement
  • Mental health & wellness support
  • Commuter benefits (parking & transit)
  • Cell phone stipend
  • 401(k) Retirement plan with company match up to 4% of salary
  • Volunteer time off
  • Global travel insurance & emergency assistance
  • Daily meals allowance
  • Additional location-specific perks & programs
Last updated Oct 22, 2026. Interested? Apply on the company site.

About Crusoe

The AI factory company | Renewable-powered AI infrastructure

Crusoe provides next-gen AI infrastructure and cloud compute using an energy-first approach. Deploy AI workloads at scale with reliable performance and 24/7 support.

AI infrastructureData centersEdge computingGPU computingRenewable energycloud computeenergy-first approachsetter-30

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