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NebiusSenior Technical Product Manager - Token Factory
Nebius, a Nasdaq-listed cloud infrastructure provider for the global artificial intelligence economy headquartered in Amsterdam, is seeking a Senior Technical Product Manager for its Token Factory…
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About This Role
Nebius, a Nasdaq-listed cloud infrastructure provider for the global artificial intelligence economy headquartered in Amsterdam, is seeking a Senior Technical Product Manager for its Token Factory team. The company builds a full-stack AI cloud platform spanning compute, storage, networking, and applied AI, supported by a global workforce of over 1,500 professionals and multiple R&D hubs across Europe, the United Kingdom, North America, and Israel. In this role, the product manager…
Job Description
Nebius, a Nasdaq-listed cloud infrastructure provider for the global artificial intelligence economy headquartered in Amsterdam, is seeking a Senior Technical Product Manager for its Token Factory team. The company builds a full-stack AI cloud platform spanning compute, storage, networking, and applied AI, supported by a global workforce of over 1,500 professionals and multiple R&D hubs across Europe, the United Kingdom, North America, and Israel.
In this role, the product manager will lead a core platform stream end-to-end within the inference platform, guiding strategy, roadmaps, launches, and customer adoption for high-performance and cost-efficient AI workloads. The position involves collaborating with multiple cross-functional engineering teams, research, sales, support, and leadership, while engaging directly with managed enterprise customers through research, interviews, and proofs-of-concept.
This opportunity suits professionals with deep technical expertise in artificial intelligence inference, model serving, distributed systems, and production infrastructure who thrive in fast-moving, ambiguous environments requiring strong cross-functional communication and strategic product ownership.
Responsibilities
- Manage the roadmap and results for a segment of the inference platform
- Coordinate multiple cross-functional engineering groups covering public APIs, routing, performance, reliability, and enterprise features
- Collaborate with engineering and research teams to improve the scalability, reliability, and cost-efficiency of inference capabilities
- Engage with customers directly through research, interviews, and hands-on proofs-of-concept for managed enterprise solutions
- Monitor market trends, open-source models, inference economics, and enterprise AI applications to define product initiatives
Requirements
- Experience launching technical platform products and leading initiatives across multiple engineering teams
- Technical depth in AI inference mechanics, model serving, distributed systems, and production infrastructure
- Ability to analyze and define problems independently rather than depending on engineers for definitions
- Communication and expectation management skills across engineering, research, sales, support, and leadership
- Proficiency in drafting clear PRDs, RFCs, and release notes
- B2B or enterprise experience involving technical buyers
- Comfort working with ambiguity and changing project scopes
- Authorization to work in the country of application with proof of eligibility provided upon hire
Core Skills
Benefits
- Competitive compensation package
- Career growth and learning opportunities
- Flexibility and ownership in daily work
- Collaborative and innovative working culture
- Involvement in impactful artificial intelligence projects
- International environment with talented teams
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the remote work policy for this position?
The source posting explicitly states that the role is on-site, though it does not provide a specific city location.
What are the primary duties of the Senior Technical Product Manager?
Responsibilities include owning the roadmap and outcomes for an inference platform stream, aligning cross-functional engineering teams, collaborating with research to improve inference scalability and cost-efficiency, and engaging directly with enterprise customers.
What background is required for applicants?
Candidates must have experience shipping technical platform products across multiple engineering teams, technical depth in AI inference and distributed systems, B2B enterprise experience with technical buyers, and strong written communication skills for PRDs and RFCs.
Is salary information provided in the posting?
No, the job posting does not specify salary details, noting only that compensation is competitive.
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