Senior Technical Program Manager (TPM)
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Some ghost-posting signals
- open for 155 days (90+ without a fill is a strong ghost signal)
- 17 open roles at this company in 30 days (mass-hiring blitz)
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About the role
What You'll Do
Program Leadership
Own the end-to-end delivery of complex technical programs at the system level.
Build and maintain program roadmaps, milestones, and integration schedules for quantum system releases.
Drive execution across multiple engineering teams while maintaining alignment with company priorities.
Cross-Functional Execution
Coordinate work between teams, including
Quantum device & fabrication
Cryogenic, control hardware and software
Manage dependencies and integration across the quantum computing stack .
Systems Integration
Lead cross-team integration planning for new quantum processor generations and system deployments.
Ensure alignment between research milestones and engineering deliverables .
Track readiness across hardware, firmware, and software layers.
Risk & Decision Management
Identify technical, schedule, and operational risks early.
Facilitate data-driven decisions with engineering leadership.
Drive resolution of cross-team blockers and competing priorities.
Operational Excellence
Establish scalable program management practices for deep-tech R&D.
Improve engineering planning, milestone tracking, and program reporting.
Support leadership with clear program visibility and status reporting .
Required Qualifications
7+ years of experience in technical program management, engineering program management, or systems engineering .
Experience delivering complex multidisciplinary technology programs .
Strong understanding of hardware + software system development lifecycles .
Demonstrated ability to lead programs across multiple specialized engineering teams .
Exceptional communication and stakeholder management skills.
Ability to operate effectively in ambiguous, research-driven environments .
Preferred Qualifications
Experience in quantum computing, semiconductors, advanced hardware systems, or deep-tech startups .
Background working with R&D organizations or research-to-product transitions .
Experience with large-scale system integration programs .
Familiarity with Agile or hybrid development models in hardware/software environments .
Degree in Engineering, Physics, Computer Science, or related technical discipline
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