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 in June 2026.
- Hybrid role and flexible working hours.
- Be part of a fast-scaling Series B company at the forefront of deep tech.
- International exposure in a multicultural, cutting-edge environment.
As a DevOps Project Manager, you will
- Lead end-to-end delivery of infrastructure, DevOps, and cloud-related projects
- Manage project scope, schedules, budgets, risks, and dependencies
- Coordinate cross-functional teams including Infrastructure, DevOps, Cloud, Security, and Application teams
- Serve as the primary point of contact for stakeholders, ensuring clear communication and alignment
- Facilitate project planning, sprint planning, stand-ups, retrospectives, and status reviews
- Track and report on project progress, milestones, and KPIs
- Ensure projects align with architectural standards, security requirements, and compliance guidelines
- Identify and mitigate risks related to cloud migrations, infrastructure upgrades, and platform reliability
- Drive continuous improvement in project delivery processes and tooling
Required Qualifications
- Bachelor’s Degree in Information Technology, Computer Science, Engineering, or related field.
- 5+ years of experience as a Project Manager in technical environments
- Proven experience managing Infrastructure, DevOps, or Cloud projects
- Strong understanding of cloud platforms such as AWS and/or OpenStack
- Familiarity with CI/CD pipelines, automation, IaC (Terraform, CloudFormation, etc.), and containerized environments
- Experience working with Agile, Scrum, and/or hybrid project methodologies
- Strong stakeholder management and communication skills
- Ability to translate technical concepts into clear business impact
- Proficiency with project management tools (Monday, GitLab, Jira, Confluence, etc.)
- Superb presentation skills and executive communication
- Excellent leadership skills with the ability to motivate and guide cross-functional teams effectively.
- Solid organizational and time-management skills, coupled with a keen eye for detail
- Perfect command of English (Fluent or Native)
Preferred Qualifications
- Master’s Degree in Information Technology, Computer Science, Engineering, or related field.
- Hands-on experience with AWS services (EC2, VPC, RDS, EKS, IAM, etc.). Or OpenStack equivalents.
- Experience managing cloud migrations or large-scale infrastructure transformations
- Knowledge of OpenStack architecture and operations
- Certifications such as PMP, PMI-ACP, AWS Certified Cloud Practitioner / Solutions Architect, or Scrum Master
- Experience working in regulated or high-availability environments
- Background in SRE or operational excellence initiatives
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
This technical management function is structurally essential for translating theoretical deep-tech advances into scalable, accessible commercial offerings. The role exists to institutionalize robust delivery pipelines—specifically integrating quantum and AI application layers with reliable classical cloud infrastructure—addressing the critical technology readiness level (TRL) gap between laboratory prototypes and enterprise deployment environments. Effective project governance over complex, multi-modal systems, including AWS and OpenStack, directly impacts resource efficiency and speed-to-market for proprietary solutions like quantum-inspired optimization and foundational AI compression tools. This position serves as a vital coordination node, mitigating systemic integration risk inherent in hybrid deep-tech stacks.
The confluence of quantum computing and advanced AI presents unique infrastructure challenges that necessitate specialized project management expertise. While many organizations focus on algorithm development or hardware fabrication, the deployment bottleneck increasingly centers on orchestration, security, and lifecycle management of hybrid quantum-classical workloads. Current industry focus lies on bridging classical and quantum capabilities at scale, requiring mature DevOps and Infrastructure-as-Code (IaC) methodologies to ensure reproducibility and stability across distributed compute resources. Fragmentation in vendor tooling and evolving cloud deployment models (public, private, edge) heighten the complexity for companies operating across the quantum software and AI optimization segments. The effective management of large-scale cloud migrations and infrastructure transformations is paramount for maintaining competitive advantage and meeting the high-availability demands of blue-chip clientele, a key strategic priority for firms like Multiverse Computing. Furthermore, the rapid growth in specialized deep-tech companies exacerbates the talent scarcity for hybrid roles that intersect advanced technical knowledge with disciplined project delivery frameworks (Agile/Scrum). The resulting pressure demands rigorous project oversight to safeguard major institutional investments and meet public funding milestones efficiently.
The technical architecture for this role centers on integrating development, security, and operations across multi-cloud environments. Core capabilities involve mastering IaC tools (e.g., Terraform, CloudFormation) to automate infrastructure provisioning and management, thereby reducing human error and accelerating deployment cycles for complex application platforms. Proficiency in CI/CD pipeline establishment is fundamental for ensuring continuous, verified delivery of quantum-inspired and AI models, directly supporting high-velocity product iteration. The underlying requirement is deep technical fluency in containerization (e.g., Kubernetes/Docker) and major cloud frameworks (AWS, OpenStack) to ensure scalability, resource optimization, and cross-platform interoperability. This layer of technical governance provides the necessary stability for research outputs to transition reliably into production environments, translating experimental gains into sustained commercial throughput and operational excellence (SRE principles).
Accelerates deep-tech product migration across diverse cloud infrastructures.
Reduces systemic integration friction between application and hosting layers.
Standardizes security and compliance posture across regulated compute environments.
Increases throughput capacity for complex AI model compression and delivery.
Optimizes cloud resource consumption, supporting economic scaling models.
Enhances the reliability and availability of quantum-inspired platforms globally.
Streamlines cross-functional engineering workflows for faster R\&D translation.
Establishes measurable performance benchmarks for infrastructure operations.
Mitigates risks associated with proprietary platform maintenance and uptime.
Improves the organizational capacity to rapidly pivot to new cloud features.
Ensures alignment of technical roadmap with executive business objectives.
Strengthens enterprise confidence in deployable quantum-AI solutions.
Industry Tags: Quantum Software, Deep Tech, DevOps, Cloud Computing, AI Optimization, Infrastructure-as-Code, Hybrid Compute, Project Management, Agile Delivery, OpenStack, AWS
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