Founded in 2020 and based in the heart of Paris, C12’s mission is to be at the center of one of the biggest technological breakthroughs of the century, and change the course of history by building a universal quantum computer.
At C12, we believe that achieving a true breakthrough in quantum computing requires rethinking the fundamentals. That’s why our founders—deeply rooted in academic and engineering excellence—have chosen carbon nanotubes as the building blocks of our quantum processors. This ultra-pure material dramatically reduces error rates, boosts performance, and minimises hardware overhead—key ingredients for scalable, fault-tolerant quantum computing. By crafting a unique approach that scales, we aim to revolutionise quantum computing just as silicon transformed classical computing.
Since our founding, we’ve raised over €25 million in funding, published 11 scientific papers, and secured 8 patents. Today, our fast-growing team of 60, including 20 PhDs, has over 20 nationalities represented. We have our own cutting-edge lab space in Paris' historic Panthéon district; where scientists, engineers, and innovators work side-by-side to tackle some of the most exciting technical challenges of our time.
Your role at C12 Quantum Electronics
- As project manager reporting to R&D Operations Lead, you will orchestrate and facilitate cross-team technical initiatives across our R&D, Software and Engineering teams. You will translate complex technical needs into actionable specifications for our internal software development, coordinate resolution of critical blockers, and ensure projects move forward with clarity and momentum. This role spans two key domains: acting as a Program Manager for cross-functional R&D projects that require coordination across multiple teams, and as an internal Product Manager for software tools developed by our Software team to support R&D workflows. You will dive deep into technical challenges, identify bottlenecks before they become blockers, and ensure data consistency to drive prioritisation decisions. This role requires someone who thrives in technical complexity, adapts quickly across domains, and focuses teams on the highest-impact work.
Your main responsibilities will include:
- Driving delivery of cross-teams projects across R&D, Software, and Engineering teams, including measurement-software integration, lab-to-engineering interfaces, and cross-R&D technical projects
- Structuring cross-teams project execution, organize tasks, and establish clear priorities
- Collecting needs from the R&D teams and translating them into clear product specifications for internal software tools developed by our Software team
- Packaging technical and scientific requirements into actionable software development projects
- Defining feature specifications and prioritise the software development roadmap in collaboration with R&D leads and the Software team
- Establishing and maintaining operating rhythms (planning sessions, progress reviews, dashboards) to keep execution on track
- Using data-driven insights to focus teams on the highest-impact priorities
- Supporting the R&D Operations Lead on strategic initiatives and process improvements; and ensuring accountability and follow-through on cross-team commitments
- Facilitating collaboration between teams to address issues and finding pragmatic solutions to complex technical challenges.
About you:
- You have 4+ years of experience in technical program management or product management in deep tech, hardware, or complex technical environments
- You hold an engineering or technical degree (Master's in Engineering, Physics, or related field)
- You have a proven track record driving delivery of complex technical projects with multiple stakeholders
- You adapt quickly to new technical domains and can switch between complex topics effectively
- You are data-driven, using metrics and insights to inform decisions and prioritization
- You have excellent communication skills in English, translating between technical teams and broader audiences
- You think creatively to identify solutions and unblock teams before issues escalate
- You are curious about quantum computing and emerging technologies (deep quantum expertise not required)
What we offer:
- Stock options for every employee (BSPCE/ESOP)
- Two incredible office spaces in the heart of Paris (both next to the famous Panthéon!)
- Sponsored trip to conferences around the world
- A highly dynamic international team
- Swile meal vouchers
- Vibrant office culture (team lunches, offsite events, Friday breakfasts..)
- Mental health support with moka.care
- Training budget/ Annual Learning & Development Allowance
- Sabbatical leave (after 2 years in the company)
You should join us if...
You like hands-on work and technology
You want to contribute to achieving landmark results in quantum computing, making a difference in the emerging quantum technologies
You want to work within a 60-people team with various backgrounds in nanofabrication, quantum electronics, and carbon nanotube science to create a revolutionary quantum computing processor
You want to thrive in an exceptional scientific environment with several industrial and academic partners
You share our values (excellence, scientific integrity, diversity, curiosity, and care) and want to help us define our product-focused culture and ambition to accelerate.
C12 encourages all who feel qualified to apply. Recruitment decisions are based solely on qualifications, skills, knowledge and experience. Applications from women are particularly welcomed.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The maturation of the quantum computing sector has transitioned from isolated laboratory experiments to complex, multi-layered engineering programs, necessitating a specialized R&D Project Manager role to bridge the gap between fundamental research and scalable hardware. As quantum architectures move toward higher technology readiness levels, the structural complexity of integrating novel materials, such as carbon nanotubes, with classical control systems creates a critical coordination bottleneck. This role type serves as an essential interface within the value chain, ensuring that scientific breakthroughs are systematically translated into reproducible technical specifications. By navigating the friction points between software development and hardware engineering, these functions directly influence the pace of commercial readiness and the viability of fault-tolerant systems. Current market signals, including increased private equity flows and national strategic initiatives, underscore the necessity for specialized orchestration to mitigate the risks of technical fragmentation and accelerate the path toward large-scale quantum advantage.
The global quantum ecosystem is currently characterized by a pivotal shift from discovery-led science to systems-level engineering, a transition that exposes significant macro constraints in cross-disciplinary coordination. As hardware modalities diversify, the integration of ultra-pure materials into standardized fabrication workflows remains a primary scalability bottleneck. This evolution requires a sophisticated enablement layer capable of synchronizing disparate development cycles across physics, nanofabrication, and software engineering.
Public and private funding cycles, such as the extensive investments seen in the European quantum landscape, are increasingly prioritizing "quantum-ready" infrastructure and the development of internal tooling to support R&D workflows. This trend highlights a sector-wide move toward industrialization, where the stability and interoperability of internal systems are as critical as the underlying qubit fidelity. The structural challenge lies in managing the high-degree-of-freedom variables inherent in deep-tech environments without stifling the scientific agility required for breakthroughs.
Furthermore, the quantum value chain faces a transition from physical prototypes to logical, error-corrected units, which necessitates a more rigorous approach to data consistency and priority alignment. The reliance on hybrid classical-quantum workflows means that software development must be tightly coupled with hardware constraints in real-time. Role types focused on orchestration are therefore vital for overcoming the "valley of death" between laboratory-scale demonstrations and the robust, fault-tolerant processors required for industrial adoption.
Capability domains for this role type center on the intersection of technical program management, product life cycle management for internal R&D tools, and deep-tech operational strategy. Proficiency in translating high-level scientific requirements into actionable engineering specifications is a core requirement for maintaining throughput in complex hardware environments. These capabilities are critical for ensuring that the feedback loops between measurement-software integration and laboratory performance are both tight and reproducible, directly impacting the fidelity of quantum processing units.
Moreover, expertise in navigating cross-functional interface points—specifically between experimental physics and software development—provides the necessary leverage to reduce hardware overhead and optimize system-level performance. The ability to implement data-driven operating rhythms allows for the early identification of technical blockers that could otherwise derail aggressive development timelines. This technical architecture facilitates the structural transition from artisanal hardware assembly to a more standardized, scalable engineering framework, which is the primary mechanism for achieving commercial-grade quantum computing.
Accelerates the industrialization of novel quantum materials through structured research-to-engineering translation pathways
Reduces technical friction between software development cycles and experimental hardware constraints
Establishes robust operating rhythms that improve the predictability of deep-tech project delivery
Mitigates hardware scalability risks by synchronizing cross-functional R\&D and engineering initiatives
Drives the maturation of internal software tooling to enhance laboratory measurement and automation workflows
Strengthens the quantum hardware supply chain by establishing clear technical specifications for component integration
Optimizes the allocation of specialized technical talent toward high-impact system-level priorities
Enhances the reproducibility of experimental results through standardized data management and reporting protocols
Shortens the iteration cycles for fault-tolerant hardware development by identifying and resolving critical technical blockers
Facilitates the integration of hybrid classical-quantum systems through disciplined program orchestration
Supports the achievement of technical benchmarks required for subsequent venture capital and public funding stages
Improves system-level architectural stability by ensuring consistent alignment between research goals and engineering execution
Industry Tags: Quantum Engineering, Deep Tech Program Management, Technical Product Management, Nanofabrication, Quantum Hardware Scalability, R&D Operations, Carbon Nanotube Electronics, Systems Integration, Fault-Tolerant Computing, Quantum Value Chain
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