Principal Technical Program Manager (Quantum Manufacturing)

• Own the full lot lifecycle from wafer-in to data-out: coordinate across fabrication, packaging, and cryogenic loading for measurement to ensure seamless handoffs and unbroken visibility at every stage
• Own the master production schedule and drive daily execution with a relentless focus on throughput and quality — managing expedites, resolving blockers, and keeping stakeholders informed on status, risks, and recovery plans
• Drive alignment on fab capacity allocation across competing priorities: balance resources across production delivery, process development, and technology R&D — ensuring plans are grounded in the program roadmap and scaling priorities
• Plan and schedule maintenance windows to minimize production impact
• Own production-level KPIs and dashboards — throughput, cycle time, equipment uptime, and schedule adherence — ensuring they are accurate, accessible, and actionable
• Partner with quality/yield engineering and process integration teams to sharpen focus on the KPIs that truly matter — challenging assumptions, connecting data to outcomes, and ensuring yield improvements translate into real production impact
• Partner with process engineering and integration teams to coordinate tech transfers, split-lot management, and wafer disposition — ensuring each transfer follows a clear stage-gate framework with a defined threshold for 'production-ready'

• Bachelors or above in Engineering, Operations management or related discipline
• Significant experience in manufacturing, production operations, hardware development, supply chain, or related technical environments
• Demonstrated experience leading complex cross-functional programs involving multiple engineering and operational stakeholders
• Communication and stakeholder management skills — with a proven ability to drive alignment across multiple teams without direct authority
• Comfortable operating in ambiguous, fast-evolving environments where you'll need to build systems and processes alongside the people using them
• Significant experience in semiconductor manufacturing, fabrication operations, hardware production, or other complex technical manufacturing environments, ideally including R&D, pilot-line, or pre-production settings where processes are still maturing
• Track record of managing end-to-end production flow across multiple process areas (e.g., fabrication, packaging, test)
• Experience in small-scale or pilot-line environments transitioning toward low-volume manufacturing — including navigating the tension between development and production priorities
• Analytical skills with experience using production data to drive decisions (yield analysis, cycle time tracking, statistical process control (SPC))
• Experience defining and implementing stage-gate or manufacturing readiness review frameworks
• Experience working as production coordinator, process integration, product management or similar
• Experience managing or leading a team of engineers or technicians in a manufacturing environment
• Experience working across multiple countries and time zones with distributed engineering teams
• Technical fluency in quantum computing, photonics, semiconductor physics, or related deep-tech domains — sufficient to engage credibly with scientists and engineers (PhD not required)
• Experience with MES (Manufacturing Execution Systems), ERP, or fab scheduling tools
• Experience in statistical analysis processes and software
• Demonstrated experience in production scheduling, Work-in-progress (WIP) management, and capacity planning in a fab or cleanroom setting
• Experience building or leading new process introduction (NPI) / tech transfer processes — transitioning R&D outputs into repeatable production
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
• Citizenship & Citizenship Verification: This role will require access to information that is controlled for export under export control regulations
• Experience with AI-driven productivity tools (e.g., Copilot, automated testing, intelligent alerting)
• Hands-on experience using latest AI development tools to drive engineering efficiency

• Significant experience in semiconductor manufacturing, fabrication operations, hardware production, or other complex technical manufacturing environments, ideally including R&D, pilot-line, or pre-production settings where processes are still maturing
• Track record of managing end-to-end production flow across multiple process areas (e.g., fabrication, packaging, test)
• Experience in small-scale or pilot-line environments transitioning toward low-volume manufacturing — including navigating the tension between development and production priorities
• Analytical skills with experience using production data to drive decisions (yield analysis, cycle time tracking, statistical process control (SPC))
• Experience defining and implementing stage-gate or manufacturing readiness review frameworks
• Experience working as production coordinator, process integration, product management or similar
• Experience managing or leading a team of engineers or technicians in a manufacturing environment
• Experience working across multiple countries and time zones with distributed engineering teams
• Technical fluency in quantum computing, photonics, semiconductor physics, or related deep-tech domains — sufficient to engage credibly with scientists and engineers (PhD not required)
• Experience with MES (Manufacturing Execution Systems), ERP, or fab scheduling tools
• Experience in statistical analysis processes and software
• Demonstrated experience in production scheduling, Work-in-progress (WIP) management, and capacity planning in a fab or cleanroom setting
• Experience building or leading new process introduction (NPI) / tech transfer processes — transitioning R&D outputs into repeatable production
• Experience with AI-driven productivity tools (e.g., Copilot, automated testing, intelligent alerting)
• Hands-on experience using latest AI development tools to drive engineering efficiency

Find additional benefits and pay information here: https://careers.microsoft.com/v2/global/en/corporate-pay/denmark-corporate-pay.html