An exciting opportunity for a motivated Product Manager to join a market leader in Quantum and AI, backed by major global investors and strong EU support. You’ll play a key role in driving engagement with cutting-edge solutions that deliver meaningful impact for global clients.
This is a 9-month Fixed Term Contract (with potential to extend), offering hybrid working from offices in Madrid.
What you’ll do
- Lead the execution of the vision and roadmap for our model inference API and model registry, ensuring they meet the needs of both internal teams and external clients.
- Partner with Engineering, Sales, Marketing, and Leadership to define requirements, prioritize features, and deliver high-quality solutions.
- Provide visibility into product capabilities while gathering field feedback to inform improvements.
- Translate complex technical concepts into clear product requirements, roadmaps, and documentation.
- Establish and evolve product management practices across the department.
- Monitor adoption, performance, and user satisfaction with a data-driven approach.
- Keep leadership informed on priorities, progress, and trade-offs.
- Contribute to the wider product strategy, ensuring alignment with company objectives.
Required qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field, or equivalent experience.2+ years in a technical role with product-facing responsibilities, plus 2+ years in product or program management.Strong understanding of software products, APIs, developer platforms, and the LLM ecosystem.Familiarity with ML infrastructure, model deployment, or related technologies.Hands-on experience defining requirements, writing user stories, and managing backlogs.Excellent communication skills, able to collaborate across technical and non-technical teams.Highly organized, adaptable, and comfortable in fast-paced environments.Fluent in English (spoken and written).Preferred qualifications
Experience with model-serving systems, ML inference APIs, or LLMs.Background in MLOps, distributed systems, or developer tools.Track record of introducing product management practices into new teams.Experience scaling ML products in enterprise environments.Ability to blend technical depth with strong user-focused product thinking.