Senior Technical Product Manager - Token Factory

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:

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

AIOps lifecycle: inference, experimentation, evaluation, fine-tuning, deployment

Cloud-native and DevOps tooling

Distributed systems and production infrastructure

Excellent execution and project management skills

Outstanding communication

Technical fluency

B2B SaaS experience

, ideally working with enterprise customers and technical buyer personas.

Customer-obsessed

Bias toward action

• 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.
• a power user of your own product, comfortable diving into:
• roadmaps, milestones, ownership, Agile processes, sprints, and change management (without creating chaos).
• able to write crisp PRDs, RFCs, runbooks, and release notes; articulate constraints and trade-offs clearly to technical and non-technical teams.
• able to speak the same language as engineering, define precise requirements, understand constraints, and make sensible trade-offs grounded in reality.
• proactive in uncovering needs, understanding customer AI strategy, and ensuring our product becomes essential in their stack.
• runs problems end-to-end without waiting for instruction, even with incomplete data

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

What's it like to work at Nebius:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.

• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams