Crusoe

Quality Manager - Manufacturing

Brighton, CO - US. Posted 2 months ago

The role

The Manufacturing Quality Manager oversees quality across multiple AI data center infrastructure production sites. This role leads team management, quality assurance, process controls, and regulatory compliance. The position involves technical oversight of electrical and mechanical product quality and continuous improvement.

What you will do

  • Direct quality operations across multiple Crusoe facilities
  • Provide technical oversight for mechanical fabrication and structural assemblies
  • Direct technical oversight for electrical equipment and safety testing
  • Lead QA activities to ensure compliance with UL, NRTL, and NETA standards
  • Lead Quality oversight for factory testing and customer witness activities
  • Ensure product design and BOM modifications are communicated to QA teams
  • Partner with Manufacturing and Engineering to implement process controls
  • Oversee manufacturing quality problem-solving and maintain audit readiness
  • Lead and coach personnel through core quality and risk management methodologies
  • Establish cross-site quality metrics and dashboards

Required qualifications

  • 6-10 years of progressive experience in Manufacturing Quality, Quality Engineering, Quality Assurance, Electrical Quality, Mechanical Quality, or related disciplines
  • 2+ years experience leading Quality organizations in complex manufacturing environments
  • Demonstrated people-management experience leading cross-functional Quality teams across multiple manufacturing facilities
  • Proven experience supporting both electrical hardware and mechanical hardware
  • Strong experience with FAT, FWT, electrical testing, and end-to-end manufacturing inspection
  • Strong working knowledge of UL compliance and certification requirements
  • Working knowledge of welding inspection and CWI-controlled process management
  • Demonstrated mastery of CAPA, RCA, SCAR, 8D, NCR, and structured problem-solving methodologies
  • Deep knowledge of QMS principles, ISO auditing, quality data management, and manufacturing quality controls
  • Proven track record of influencing and collaborating across Engineering, Manufacturing, Supply Chain, Procurement, and Executive leadership
  • Ability and willingness to travel 30% to 40% across manufacturing facilities, vendor locations, and client sites

Nice to have

  • Bachelor's degree in Electrical Engineering, Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, Quality Engineering, or related technical discipline
  • Master's degree
  • ASQ Certified Quality Engineer (CQE), Certified Quality Auditor (CQA), or Certified Quality Manager (CQM)
  • Lean Six Sigma Black Belt or Master Black Belt certification
  • AWS Certified Welding Inspector (CWI) designation or formal NDE training
  • Specific exposure to UL 891, UL 508, NRTL certification programs, or NETA ATS specifications
  • Experience with enterprise QMS software platforms, QMS/ERP/MES integrations, and advanced quality data analytics
  • Experience scaling quality organizations within mission-critical infrastructure, data centers, power distribution, switchgear, or industrial controls industries

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

Before you apply

  • Mandatory participation in company safety, background check, drug, and alcohol programs is required
  • Position is designated a safety-sensitive position located in safety-sensitive facilities

About the company

Crusoe is a vertically integrated AI infrastructure company that owns and operates each layer of the stack to power AI workloads. The company uses an energy-first approach to build AI infrastructure.