Technical Product Manager

The Nebius Token Factory is an AI inference platform that powers high-performance, cost-efficient workloads at scale. As a Senior Technical Product Manager, you’ll own one of our core product streams and drive it end to end: from roadmap and design to launch and adoption of features our customers rely on. You are welcome to work remote from the UK, or hybrid from our Amsterdam location. Your responsibilities will include: Own the product roadmap, delivery and developer experience for one of our flagship product direction - Dedicated Endpoints for AI Models Inference; Partner with engineering and research to design tools that let customers run large-scale, high-load inference workloads efficiently; Support sales & customers by preparing materials, leading PoCs/betas, and ensuring smooth onboarding of complex workloads; Drive product–market fit through continuous user research, customer interviews, and market & competitive analysis; Manage technical partnerships and ensure integrations deliver measurable value despite limited resources. We expect you to have: 3–5 years of product management experience, shipping technical products with 10–15+ cross-functional stakeholders(engineering, research, design, support, marketing, legal, leadership); Hands-on mindset — a power user of your own product, comfortable diving into: AIOps lifecycle: inference, experimentation, evaluation, fine-tuning, deployment; Cloud-native and DevOps tooling; Distributed systems and production infrastructure; Excellent execution and project management skills — roadmaps, milestones, ownership, Agile processes, sprints, and change management; Outstanding communication — able to write crisp PRDs, RFCs, runbooks, and release notes; articulate constraints and trade-offs clearly to technical and non-technical teams; Technical fluency — able to speak the same language as engineering, define precise requirements, understand constraints, and make sensible trade-offs grounded in reality; B2B SaaS experience, ideally working with enterprise customers and technical buyer personas; Customer-obsessed — proactive in uncovering needs, understanding customer AI strategy, and ensuring our product becomes essential in their stack; Bias toward action — runs problems end-to-end without waiting for instruction, even with incomplete data.