The Programs team ensures our external and internal research projects are delivered predictably, transparently, and in alignment with customer needs and internal priorities. Working closely with research leads, solutions architects, and commercial teams, the group provides the structure and clarity needed to turn scientific work into well-run projects.
As a Senior Technical Program Manager, you will manage a portfolio of complex scientific projects, contributing to consistent and predictable delivery. You will use your technical literacy to translate scientific objectives into clear plans, manage the flow of work across multiple research teams, and ensure that progress, risks, and decisions are visible to both customers and internal leadership. Alongside your own delivery responsibilities, you will work with the Programs group leadership to plan resources, follow established delivery discipline, and contribute to continuous improvement of team practices.
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Responsibilities
- For assigned programs, act as the primary point of contact for questions related to status, delivery commitments, and customer programs, ensuring clear and timely communication with internal leaders and external stakeholders as appropriate.
- Ensure all assigned internal and external research and delivery projects are well defined, with clear objectives, scope, milestones, success criteria, ownership, and governance, and that progress is reported in a consistent and appropriate manner to senior leadership.
- Ensure project risks, dependencies, and delivery issues are identified early, escalated appropriately, and actively managed so that corrective actions are taken in a timely manner.
- Contribute to forecasting and capacity-planning activities by providing accurate project plans, estimates, and risk assessments to the Director, Programs.
- Use established tools and systems for project tracking, resource management, and reporting, and ensure accurate and timely data entry for assigned programs.
- Support financial and accounting requirements by accurately tracking effort, time allocation, and project costs in coordination with finance and operations teams.
- Enforce scope management and change-control processes to prevent uncontrolled scope creep while enabling informed trade-offs where strategically necessary.
Must haves:
- Master’s degree in quantum computing, physics, computer science, or related field.
- 2+ years managing complex research programs with successful outcomes.
We value:
- PhD in quantum computing, physics, computer science, or related field.
- Experience working with or exposure to quantum technologies.
- Experience managing customer relationships, with a track record of delivering successful and complex projects.
- Strong stakeholder management skills and the ability to influence without formal authority.
- Excellent verbal, written, and presentation skills; able to communicate complex ideas clearly and persuasively.
- Strong organizational skills, with the ability to manage multiple priorities and stakeholders.
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What is in it for you?
Working alongside a highly talented team, with leading names in the quantum computing industry. We offer a highly competitive package, equity, 28 days of paid holiday (in addition to public holidays), a workplace pension, a positive approach to flexible working and enhanced parental and adoption benefits.
About Us:
Quantinuum is the world leader in quantum computing. The company’s quantum systems deliver the highest performance across all industry benchmarks. Quantinuum’s over 650 employees, including 400+ scientists and engineers, across the US, UK, Germany, and Japan, are driving the quantum computing revolution.
By uniting best-in-class software with high-fidelity hardware, our integrated full-stack approach is accelerating the path to practical quantum computing and scaling its impact across multiple industries.
By joining Quantinuum, you’ll be at the forefront of this transformative revolution, shaping the future of quantum computing, pushing the limits of technology, and making the impossible possible.
Visit our news pages to learn more about Quantinuum and our scientific breakthroughs and achievements: https://www.quantinuum.com/news
Quantinuum Intro Video: The Future of Quantum Computing
Please note that employment with us is subject to successfully passing our pre-employment screening checks. We are an inclusive equal opportunity employer. You will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The transition of quantum computing from fundamental laboratory research to industrialized system delivery is predicated on the emergence of specialized technical program management. As hardware modalities mature and software stacks become increasingly interdependent, the structural complexity of aligning multi-disciplinary research outcomes with commercial roadmaps has become a critical bottleneck. This role type serves as the primary mechanism for mitigating the high variance inherent in scientific R&D, ensuring that experimental breakthroughs are systematically integrated into stable, scalable product architectures. By bridging the gap between theoretical physics and robust engineering execution, these functions directly influence a company's ability to maintain a competitive technology readiness level (TRL). Current market signals, including increased capital expenditure in full-stack providers and the professionalization of national quantum initiatives, underscore the necessity of this coordination layer to ensure long-term capital efficiency and ecosystem interoperability.
The global quantum ecosystem is currently navigating a pivotal shift toward system-level integration and early-stage commercialization. Within this value chain, the role of a technical program manager is central to managing the macro constraints of vendor fragmentation and supply chain volatility. As organizations move beyond NISQ-era demonstrations toward fault-tolerant computing, the coordination of heterogeneous workflows—spanning cryogenic engineering, compiler optimization, and error correction—requires institutional-grade oversight to prevent development silos.
Industry dynamics are increasingly influenced by the need for hybrid classical-quantum infrastructure. This integration necessitates a shift from isolated scientific exploration to a standardized delivery discipline that can interface with enterprise-grade IT requirements. Furthermore, as public funding cycles become more focused on "quantum-ready" workforce development and domestic manufacturing capabilities, the ability to translate complex scientific milestones into transparent, milestone-driven progress is essential for securing sustained investment and strategic partnerships.
The structural maturity of the sector is also gated by a persistent talent mismatch where deep technical expertise must be coupled with high-level systems thinking. Programmatic leadership at this level acts as a stabilizer against the high risk of R&D scope creep, enforcing the technical rigor required to move systems through the TRL pipeline. This ecosystem-level enablement is vital for reducing the time-to-market for practical applications in chemistry, materials science, and cryptography.
Capability domains for this role type are anchored in the intersection of systems engineering, resource forecasting, and risk mitigation within deep-tech environments. Effective throughput in quantum development requires a sophisticated understanding of the dependencies between hardware specifications and algorithmic performance. Mastery of these interface points allows for the synchronization of rapid prototyping cycles with long-term infrastructure planning, which is essential for maintaining operational stability during periods of hyper-growth.
Furthermore, the architecture of this role relies on the ability to implement governance frameworks that accommodate the probabilistic nature of quantum research while demanding deterministic project outcomes. This includes the deployment of advanced tooling for cross-functional tracking and the capacity to translate high-dimensional scientific objectives into actionable technical milestones. Such capabilities are the primary drivers of interoperability, allowing diverse research teams to contribute to a singular, cohesive technology stack without compromising scientific integrity.
Accelerates the progression of high-fidelity quantum systems through complex technology readiness levels
Establishes rigorous delivery frameworks that bridge the gap between experimental physics and commercial engineering
Mitigates systemic R\&D risks by aligning multi-disciplinary research outputs with long-term hardware roadmaps
Enhances capital efficiency by reducing scope creep within resource-intensive scientific development cycles
Drives ecosystem interoperability through the standardization of cross-functional technical milestones
Strengthens the quantum supply chain by providing transparent visibility into project dependencies and risks
Facilitates the integration of quantum processing units into enterprise-grade classical high-performance computing environments
Reduces iteration latency between theoretical algorithm development and physical hardware implementation
Optimizes workforce allocation across competing priorities in high-growth quantum technology sectors
Improves stakeholder confidence through the institutionalization of predictable and transparent delivery disciplines
Supports the scaling of full-stack quantum architectures by managing complex technical interdependencies
Shortens the development lifecycle for fault-tolerant computing through systematic progress tracking and bottleneck identification
Industry Tags: Quantum Computing, Technical Program Management, Systems Integration, Deep Tech R&D, Technology Readiness Levels, Quantum Hardware, Hybrid Classical-Quantum, Scientific Project Delivery, Risk Mitigation, Scalable Architectures
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