At IQM, we build world-leading quantum computers for the well-being of humankind. We design systems to tackle computational challenges beyond the practical limits of classical machines. Our work sits at the edge of science and engineering. It's complex, demanding, and deeply collaborative. We turn deep research into reliable, full-stack systems that drive discoveries in fields like medicine, energy, and technology, reshaping how the world computes.
Join the team that gives quantum a heartbeat.
The work
Quantum computing is moving from research labs into real-world environments. As Senior Technical Product Manager for IQM Radiance and IQM Spark, you will help shape how customers experience and use IQM's on-premises quantum computers.
You will own the product direction across the complete lifecycle of our systems, from quantum processors and control electronics to software and system performance. Working closely with R&D, engineering, sales, and customers, you will turn technical possibilities into products that solve meaningful problems.
This role sits at the intersection of science, engineering, and business. You will help prioritize development efforts, define future capabilities, and ensure our products continue to deliver value in a rapidly evolving quantum computing landscape
What you’ll actually do
- Define product requirements across quantum hardware, cryogenics, control electronics, software, and system performance
- Identify product gaps, bottlenecks, and improvement opportunities through customer feedback, testing results, and technology roadmaps
- Drive the definition and implementation of new product capabilities together with R&D and engineering teams
- Translate complex technical concepts into clear customer-facing documentation, including product descriptions, manuals, and site requirements
- Support responses to customer procurements and quantum computing tenders
- Work closely with customers, partners, and internal stakeholders to understand emerging needs and market requirements
- Develop technical strategy and roadmap for our current and future generation products in collaboration with technology teams and suppliers
- Drive innovation initiatives by evaluating future technology and market opportunities and validating new concepts or MVPs
- Act as a bridge between business priorities and engineering, helping teams make informed trade-off decisions
What we’re looking for
- MSc in Physics, Quantum Technology, Engineering, Computer Science, or related technical field
- Several years of experience in product management, technical leadership, systems engineering, or a similar role within a deep-tech environment
- Experience working with the full product lifecycle from requirements, design, validation, production, and post-sales support
- Strong engineering background in both hardware and software
- Understanding of complex technical systems and the ability to connect business needs with engineering execution
- Knowledge of quantum computing technologies and the broader quantum ecosystem
- Experience balancing competing priorities and aligning stakeholders around clear decisions
- Excellent communication, presentation, and negotiation skills with both technical and non-technical audiences
- Ability to lead cross-functional teams and drive outcomes without formal authority
Seen as beneficial
- Scientific or engineering experience in quantum computing, semiconductors, scientific instrumentation, HPC, cloud or related fields
- Experience working with government, research, or public procurement processes
- Familiarity with product strategy, market analysis, and technology roadmaps
- Experience launching technically complex products into global markets
- Experience working with certification, compliance, or regulatory requirements
Why IQM?
- Full-stack quantum computing: From quantum hardware to software layers and beyond, we build across the full-stack.
- High-performance playground: We aim high, and we know sustainable performance only works when life outside work does too—hybrid setups, flexible hours.
- Never the smartest: Expect to learn constantly. You won't always be the smartest person in the room, and that's the point.
- Approachable leadership: Flat hierarchy, direct access. Feel free to approach any leaders. They're friendlier than they look!
- The sweet spot: Big enough to matter. Small enough to move fast. Growing between a startup and a corporation. We’re in the phase where top performers get noticed.
- Bigger than IQM: Our people build know-how for the entire quantum ecosystem. We publish papers, run hackathons, and help shape a market that's still being defined.
The future of computing won’t build itself. You might be one of the few who do.
We'll start interviews and move forward with hiring as soon as we meet strong candidates. Please submit your application soon.
600M€+ Total Funding | 400+ Team Members | 30+ Quantum Computers Built | 300+ Patents Filed | 10 Location Globally
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The evolution of Technical Product Management within the deep-tech sector signifies a critical transition from purely scientific exploration to the industrialization of quantum computing systems. As the ecosystem matures beyond initial benchmarks, the structural necessity for roles that synthesize market requirements with hardware and software engineering becomes paramount to overcoming the commercialization gap. This function serves as a high-leverage coordination point, ensuring that technical roadmaps for on-premises quantum systems are synchronized with the deterministic needs of research institutions and enterprise early adopters. By converting complex physical constraints into viable product trajectories, this role secures the foundation for long-term ecosystem readiness and value-chain stability. Current industry focus lies on bridging classical and quantum capabilities at scale to ensure sustainable technology adoption.
The quantum computing landscape is undergoing a decisive shift from laboratory-scale proof-of-concepts to the deployment of integrated systems within global high-performance computing (HPC) ecosystems. While fundamental research continues to advance, the primary bottleneck for industrial utility has shifted toward the systems engineering and productization layer. This phase of development requires a sophisticated management of the full-stack interface—spanning quantum processing units, cryogenic control electronics, and the software execution layer—to ensure that hybrid workflows can meet the rigorous uptime and performance standards of production-grade environments.
Current macro constraints, including acute workforce scarcity and vendor fragmentation, necessitate specialized leadership capable of navigating the "translation gap" between deep-tech R&D and institutional procurement. As organizations move beyond NISQ-era benchmarks, the ecosystem requires architects of product strategy who can reconcile the physical limitations of current hardware with the scalability requirements of future fault-tolerant architectures. This structural layer of expertise is the primary mechanism for maintaining momentum as technologies transition through varying Technology Readiness Levels (TRLs) toward commercial viability.
Integration with existing digital infrastructures remains a high-risk dependency for the sector. The evolution of the value chain depends on the ability to package quantum resources as accessible, on-premises or cloud-integrated assets without disrupting established enterprise workflows. Consequently, the availability of technical leaders who can orchestrate these complex cross-functional dependencies is a primary determinant of whether a quantum provider can successfully transition from a research entity to a market-leading systems manufacturer.
The capability architecture for this role type centers on the synchronization of advanced quantum physics with the rigorous protocols of systems engineering and product lifecycle management. Mastery of the full-stack technology layer is essential for ensuring that hardware specifications, such as gate fidelities and coherence times, are effectively translated into performance metrics that resonate with end-user applications in chemistry, optimization, and materials science. This requires a deep understanding of the integration points between low-level control systems and the high-level software stacks that manage hybrid classical-quantum executions.
These capabilities are fundamental to the throughput of deep-tech organizations, as they enable the parallelization of long-horizon research initiatives alongside the development of reliable, repeatable manufacturing and deployment processes. By establishing robust verification frameworks and clear technology roadmaps, this function provides the leverage needed to assess the true business value of quantum advantage before full-scale capital allocation. Furthermore, the ability to manage complex stakeholder landscapes ensures that scientific outputs are reconciled with the practical constraints of regulatory compliance, data sovereignty, and public-sector tender requirements. Such expertise reduces the iteration friction between abstract discovery and product delivery. - Accelerates the deterministic transition from laboratory research to industrial-grade quantum computing products
- Mitigates systemic execution risks by synchronizing long-term research cycles with near-term commercial roadmaps
- Facilitates the integration of quantum hardware into standardized high-performance computing infrastructures
- Strengthens the reliability of technology strategies through the implementation of rigorous product benchmarking
- Reduces iteration friction between fundamental physics breakthroughs and the delivery of scalable systems
- Optimizes the allocation of specialized technical talent across engineering, R\&D, and sales portfolios
- Enhances the stability of the quantum value chain by providing predictable requirement frameworks for suppliers
- Supports the scaling of on-premises quantum deployments by managing complex cryogenic and electronic dependencies
- Improves the transparency of technology readiness level progression for stakeholders in the investment sector
- Enables the structural reproducibility of system performance through the standardization of product specifications
- Protects high-capital research and development investments by ensuring alignment with global market requirements
- Orchestrate the convergence of academic research pathways with the practical demands of enterprise-ready servicesIndustry Tags: Quantum Systems, Technical Product Management, Deep Tech Industrialization, Full-Stack Quantum Computing, HPC Integration, Technology Roadmapping, NISQ Era, Systems Engineering, QaaS
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