Strategic Overview
Senior Technical Product Manager - Token Factory at Nebius is a product opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as Own the roadmap and outcomes for a part of the inference platform, aligning several cross-functional engineering teams across public API, routing, performance, reliability and enterprise enablement features. Experience shipping technical platform products,…
The role is listed for Europe with remote working arrangement, giving candidates the practical context needed to assess fit before applying. Relevant signals in the listing include Product & Operations, Senior.
Key information at a glance
About This Role
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.
Key Responsibilities & Objectives
- Own the roadmap and outcomes for a part of the inference platform, aligning several cross-functional engineering teams across public API, routing, performance, reliability and enterprise enablement features.
- Experience shipping technical platform products, with the seniority to lead work across multiple engineering teams.
- Real technical depth in how AI inference works, including model serving, distributed systems and production infrastructure. You think problems through yourself rather than relying on engineers to define them.
- Strong communication and expectations management across engineering, research, sales, support and leadership. You write crisp PRDs, RFCs and release notes.
Required Qualifications & Candidate Blueprint
- Stay close to customers through research, interviews and hands-on PoCs, especially in managed enterprise.
- B2B/enterprise experience with technical buyers.
Salary & Benefits
The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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 for high-performance, cost-efficient workloads at scale, serving both developers and managed enterprise customers. As a Senior/Principal Product Manager, Inference Platform, you’ll join a team of PMs under the Inference Platform lead and own a core platform stream end to end, from strategy and roadmap to launch and adoption. The scope evolves quickly with the market (new models, modalities, hardware and customer needs), with a strong emphasis on scalability and reliability.
Your responsibilities will include:
Own the roadmap and outcomes for a part of the inference platform, aligning several cross-functional engineering teams across public API, routing, performance, reliability and enterprise enablement features.
Work with engineering and research to make inference more scalable, reliable and cost-efficient, and turn that into capabilities customers can depend on.
Stay close to customers through research, interviews and hands-on PoCs, especially in managed enterprise.
Track the market: open-source models, inference economics, and how businesses actually apply AI. Turn what you see into product bets.
We expect you to have:
Experience shipping technical platform products, with the seniority to lead work across multiple engineering teams.
Real technical depth in how AI inference works, including model serving, distributed systems and production infrastructure. You think problems through yourself rather than relying on engineers to define them.
Strong communication and expectations management across engineering, research, sales, support and leadership. You write crisp PRDs, RFCs and release notes.
B2B/enterprise experience with technical buyers.
Comfort with ambiguity and shifting scope.
Benefits & Perks:
- 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
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.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This product opening is a useful opportunity for candidates whose experience matches Product & Operations, Senior. Its strongest career signal is the scope of the work itself — particularly Own the roadmap and outcomes for a part of the inference platform, aligning several cross-functional engineering teams across public API, routing, performance, reliability and enterprise enablement features. — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground Product & Operations, Senior, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.