Senior Technical Product Manager - Token Factory

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

The role

We’re building Nebius Token Factory — 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 (without creating chaos).

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.

Benefits & Perks:

Competitive compensation