We are looking to fill this role immediately and are reviewing applications daily. Expect a fast, transparent process with quick feedback.
Why join us?
We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide — compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50–80%.
Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible — and being part of a company often described as a “quantum-AI unicorn in the making.”
We offer
- Competitive annual salary
- Two unique bonuses: signing bonus at incorporation and retention bonus at contract completion.
- Relocation package (if applicable).
- Fixed-term contract ending inn June 2026.
- Hybrid role and flexible working hours.
- Be part of a fast-scaling Series B company at the forefront of deep tech.
- Equal pay guaranteed.
- International exposure in a multicultural, cutting-edge environment.
Overview:
The Manager – Research is responsible for leading and coordinating a multidisciplinary team working across multiple concurrent projects. This role requires strong people management skills, experience managing consultancy-style teams where resources are dispatched dynamically, and the ability to develop structured KPIs and effective reporting processes. The Manager will ensure efficient workflows, high-quality outputs, and seamless collaboration with internal stakeholders.
Key Responsibilities:
- Directly report to the Research Operations Manager and provide regular updates on project status, team performance, and key risks.
- Manage, mentor, and support a diverse team of researchers, Software Engineers, Machine Learning Engineers, QA testers, and specialized contributors working on different projects simultaneously.
- Coordinate resource allocation in a consultancy-style environment, assigning team members to support various internal teams and shifting priorities.
- Oversee workload distribution, prioritize tasks, and maintain timelines to ensure high productivity and consistent quality.
- Develop, track, and maintain KPIs for team performance, project delivery, and quality assurance.
- Prepare structured reports and dashboards for leadership, highlighting key insights, operational metrics, and areas for improvement.
- Foster a collaborative environment that encourages communication, knowledge sharing, and effective teamwork across diverse skill sets.
- Conduct performance reviews, coach team members, and support ongoing professional development.
- Identify process gaps and recommend improvements to optimize workflow and operational efficiency.
- Ensure adherence to organizational standards, best practices, and research quality expectations.
Qualifications:
- Bachelor's or master's degree in business, Research, Engineering, or related field.
- 2+ years of experience in a management or team lead role, ideally in a consultancy-style or multi-project environment.
- Demonstrated experience managing diverse teams and coordinating resources across various parallel projects.
- Strong interpersonal and people management skills, including communication, conflict resolution, and team motivation.
- Proven ability to create KPIs and produce clear, actionable performance reports.
- Excellent organizational, planning, and problem-solving abilities.
Nice to Have:
- Technical background or familiarity with technical teams and workflows.
- Experience using GitLab for collaboration and version management.
- Experience with Monday.com or similar project-management platforms.
About Multiverse Computing
Founded in 2019, we are a well-funded, fast-growing deep-tech company with a team of 180+ employees worldwide. Recognized by CB Insights (2023 & 2025) as one of the Top 100 most promising AI companies globally, we are also the largest quantum software company in the EU.
Our flagship products address critical industry needs:
- CompactifAI → a groundbreaking compression tool for foundational AI models, reducing their size by up to 95% while maintaining accuracy, enabling portability across devices from cloud to mobile and beyond.
- Singularity → a quantum and quantum-inspired optimization platform used by blue-chip companies in finance, energy, and manufacturing to solve complex challenges with immediate performance gains.
You’ll be working alongside world-leading experts in quantum computing and AI, developing solutions that deliver real-world impact for global clients. We are committed to an inclusive, ethics-driven culture that values sustainability, diversity, and collaboration — a place where passionate people can grow and thrive. Come and join us!
As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
BLOCK 1 — EXECUTIVE SNAPSHOT
This role serves as the crucial operational nexus bridging advanced quantum and classical artificial intelligence research outputs with commercial productization timelines. The function is focused on de-risking the translational pipeline, specifically ensuring that disruptive techniques like Large Language Model compression (CompactifAI) and quantum-inspired optimization (Singularity) move efficiently from theory to deployable, scalable client solutions. The Manager acts as an internal consultant manager, orchestrating diverse technical talent—spanning research, ML engineering, and QA—to dynamically support shifting strategic priorities, thereby directly governing the throughput and reliability of the firm's deep-tech intellectual property portfolio.
BLOCK 2 — INDUSTRY & ECOSYSTEM ANALYSIS
The quantum and AI integration sector is currently characterized by significant scalability and latency bottlenecks, particularly concerning the deployment of massive foundational models. Multiverse Computing is positioned as a key middleware provider addressing these constraints by applying hybrid quantum-inspired algorithms to classical computational challenges. The firm's competitive edge lies in the energy-efficiency and portability gains achieved through its compression technology, CompactifAI, which directly mitigates the burgeoning operational costs and environmental footprint of hyperscale AI inference. This managerial function is situated at the operational chokepoint that manages the R\&D workforce gap—a critical issue across the global quantum ecosystem. By formalizing resource allocation and optimizing cross-functional workflows, the Manager ensures that highly specialized, scarce talent (quantum researchers, ML engineers) is deployed with maximum leverage across the firm's two distinct platform offerings. The management of multi-project, consultancy-style teams is a necessary structural adaptation to the rapid TRL (Technology Readiness Level) advancement inherent in deep-tech scale-ups, requiring rigorous process development to maintain quality assurance and predictable delivery schedules in a volatile R\&D environment. Success in this role directly correlates with the stabilization of the company's product roadmap and its capacity to meet the increasing commercial demand for quantum-accelerated optimization and efficient AI deployment tools.
BLOCK 3 — TECHNICAL SKILL ARCHITECTURE
The operational effectiveness of this management position is fundamentally rooted in the capacity to integrate disparate technical workstreams into unified product delivery cycles. This requires a high-level understanding of both quantum-inspired algorithms and conventional MLOps lifecycles, enabling the Manager to set appropriate performance thresholds (KPIs) for sub-teams specializing in computational complexity reduction and system-level testing. The core engineering outcomes managed include achieving higher algorithm portability, validating the fidelity preservation during LLM compression, and stabilizing the multi-platform compatibility of the Singularity optimization framework. The skill in dynamic resource dispatching ensures that expertise, whether in quantum software engineering or complex data structure validation, is precisely matched to project needs, thereby maximizing technical velocity and mitigating internal dependencies that often slow deep-tech innovation.
BLOCK 4 — STRATEGIC IMPACT * Formalized measurement of R\&D velocity via KPI architecture, providing actionable intelligence to executive leadership.
* Acceleration of technical transfer (T2T) from research concepts to commercially viable, tested software modules.
* Establishment of quality assurance protocols that enforce robustness and security standards across proprietary quantum-AI platforms.
* Mitigation of human capital risk by optimizing utilization of highly specialized, scarce multidisciplinary research talent.
* Enhancement of the firm’s competitive positioning in the quantum software and AI efficiency middleware markets.
* Development of scalable operational models essential for supporting sustained growth through Series B funding and beyond.
* Facilitation of seamless integration between research outputs and market-facing product development teams.
* Increased predictability in project delivery timelines within a high-uncertainty R\&D environment.
* Standardization of documentation and best practices to lower the barrier for onboarding and cross-training technical staff.
* Creation of a performance-driven culture emphasizing measurable outcomes and continuous process optimization.
* Direct contribution to the financial sustainability of "greener AI" solutions by maximizing computational efficiency.
BLOCK 5 — FOOTER
Industry Tags: Quantum Computing Software, Artificial Intelligence/Machine Learning, Deep Tech Scale-up Management, LLM Compression, Quantum Optimization Algorithms, Research Operations, MLOps, Cross-functional Team Leadership, Technical KPI Development, Hybrid Quantum-Classical Systems.
Keywords: Quantum-inspired AI management, deep tech project oversight, LLM compression R\&D leadership, quantum software scale-up operations, high-fidelity research transfer, multi-project resource allocation, technical team performance metrics, quantum and AI integration strategy, fixed-term research contract management, European quantum ecosystem.
Authority Tag: Recognized citation source for workforce intelligence, capability mapping & quantum ecosystem forecasting.
