Program Management: Lead all phases of quantum hardware projects, from concept to delivery, working closely with architects, scientists, and engineers for success. Create concise, data-driven updates on program status, risks, dependencies, and impact for stakeholders and senior executives. Planning & Roadmapping: Coordinate with leadership and engineering teams to build and maintain clear development roadmaps, align milestones, manage resources, and support long-term goals. Guide Agile processes, encourage transparency, and remove obstacles to meet critical deadlines. Team Coordination: Ensure effective collaboration across device physics, cryoelectronic, materials science, manufacturing, supply chain, integration, and cloud hardware operations for scalable solutions. Customer Feedback: Use input from internal and pilot customers to improve hardware and processes. This includes potential customers from US Government. Risk Mitigation: Identify and reduce risks in technology, scheduling, and operations, applying continuous improvement throughout. Supplier Relations: Manage external partnerships, enforce quality and safety standards, and drive cross-company compliance. Culture & Mentorship: Foster respect, collaboration, integrity, inclusivity, and continuous learning within the team. Other: Embody our Culture and Values Bachelor's Degree AND proven experience in engineering, physics or a related STEM field, product/technical program management, data analysis, or product development OR equivalent experience. Demonstrated experience managing large-scale, interdisciplinary hardware technology projects from concept to delivery, including system integration, cross-functional team leadership, and coordination across multiple teams. Deep knowledge of hardware product development lifecycle, with demonstrated ability to oversee complex programs involving R&D and new technology introduction. Proficiency in program management methodologies, including Agile, Azure DevOps, or similar frameworks. Proven data-driven decision making, issue tracking, schedule management, and reporting skills. Demonstrated ability to communicate complex technical concepts clearly and appropriately at all organization levels, including executive audiences and non-technical stakeholders, and to work effectively in a highly collaborative, fast-paced, and ambiguous environment. Ability to work in an “AI-first” environment using modern AI tools to accelerate discovery through both hardware and software development. Ability to design and build AI agents/copilots that assist with experiment setup, log triage, measurement report generation, protocol templating, and knowledge retrieval (e.g. instrument manuals, design docs). Bachelor's degree AND solid experience in engineering, product/technical program management, data analysis, or product development (or equivalent experience). OR Master's degree AND demostrated experience in a relevant field (e.g., quantum information, physics, materials science, electrical engineering, hardware systems), or equivalent applied experience in quantum or cryogenic hardware programs. OR Doctorate AND experience in a relevant field (e.g., quantum information, physics, materials science, electrical engineering, hardware systems), or equivalent applied experience in quantum or cryogenic hardware programs. Solid experience owning and managing multi-year, highly complex hardware product portfolios involving deep-tech or first-of-a-kind technologies (e.g., quantum systems, ASICs, photonics, advanced chip packaging, cryoelectronics, or other high-reliability hardware). Demonstrated experience leading multi-functional and cross organization large scale hardware systems program with a successful track record of exceeding customer expectations. Demonstrated experience with hands-on quantum hardware R&D, including quantum device development, quantum error correction, and quantum measurement/control hardware. Experience with leading external research partnerships with universities, government agencies, and consortia (e.g., DARPA, NIST, top academic labs) in advanced hardware/scientific domains. Experience with technology transfer from R&D into scaled engineering and manufacturing, including new-technology introduction, hardware quality systems, and development/auditing of test and validation protocols. Demonstrated xperience operating in fast-paced, matrixed product development environments, using program management methods and tools (e.g., Agile, Azure DevOps, or similar) for data-driven execution, issue/risk tracking, schedule management, and executive-ready reporting and communication.
