[All remote jobs](https://jobicy.com/jobs.md)[![Nebius logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/06/d90c0566-221.webp)](https://jobicy.com/company/nebius.md)[Nebius](https://jobicy.com/company/nebius.md) # Senior Technical Product Manager – Token Factory Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/nebius.md)ShareRemote from[Europe](https://jobicy.com/job-region/europe.md)SalaryUndisclosedDepartment[Product & Operations](https://jobicy.com/categories/management.md)EmploymentFull TimeExperienceSeniorPublished28 Oct 2026Apply before27 Nov 2026Listing views53Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Nebius is seeking a senior technical product manager to own a core stream of its Token Factory AI inference platform. The role covers strategy, roadmap definition, launch and adoption for capabilities spanning public APIs, routing, performance, reliability and enterprise enablement. It requires deep practical understanding of model serving, distributed systems and production AI infrastructure, alongside strong B2B product judgment. The PM will work closely with engineering, research, sales, support and enterprise customers to turn market and customer signals into scalable product bets. This is a high-ownership role in a rapidly evolving AI infrastructure market. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThe position combines senior product ownership with substantial technical depth in AI inference, distributed systems and infrastructure economics. Success depends on independently making high-impact trade-offs amid changing models, hardware and enterprise requirements. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$190,000US market range (per year)$160k–$230k0$253.00k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. The figures are estimated annual USD market compensation for a US-market senior technical product manager focused on AI inference infrastructure; yearly cadence is inferred from the senior full-time role convention. ## Core skills Skills and capabilities most closely associated with this opportunity. [Product strategy](https://jobicy.com/jobs?search_keywords=Product%20strategy.md)[Product roadmap management](https://jobicy.com/jobs?search_keywords=Product%20roadmap%20management.md)[AI inference](https://jobicy.com/jobs?search_keywords=AI%20inference.md)[Model serving](https://jobicy.com/jobs?search_keywords=Model%20serving.md)[Distributed systems](https://jobicy.com/jobs?search_keywords=Distributed%20systems.md)[Cloud infrastructure](https://jobicy.com/jobs?search_keywords=Cloud%20infrastructure.md)[API product management](https://jobicy.com/jobs?search_keywords=API%20product%20management.md)[Performance optimization](https://jobicy.com/jobs?search_keywords=Performance%20optimization.md)[Reliability engineering](https://jobicy.com/jobs?search_keywords=Reliability%20engineering.md)[Enterprise B2B products](https://jobicy.com/jobs?search_keywords=Enterprise%20B2B%20products.md)[Customer discovery](https://jobicy.com/jobs?search_keywords=Customer%20discovery.md)[Proof of concept development](https://jobicy.com/jobs?search_keywords=Proof%20of%20concept%20development.md)[PRD writing](https://jobicy.com/jobs?search_keywords=PRD%20writing.md)[RFC writing](https://jobicy.com/jobs?search_keywords=RFC%20writing.md)[Cross-functional leadership](https://jobicy.com/jobs?search_keywords=Cross-functional%20leadership.md) Sample interview questionsHow would you prioritize investments between inference latency, throughput, reliability, and cost efficiency?I would first segment workloads and customers by their service-level needs, business value, and current pain points. I would establish measurable targets such as p99 latency, tokens per second, availability, and cost per million tokens, then prioritize initiatives with the strongest customer and economic impact. The roadmap would make explicit trade-offs and include guardrails so performance gains do not compromise reliability or unit economics. Describe how you would turn a new open-source model trend into a Token Factory product decision. I would assess model adoption, hardware requirements, serving characteristics, customer demand, and the expected economics of supporting it. I would validate the opportunity through customer interviews and a limited proof of concept with engineering, defining success metrics for quality, performance, and operational cost. If validated, I would translate the findings into a staged launch plan covering API design, capacity, observability, documentation, and enterprise readiness. What should a strong PRD for an inference-platform capability include? It should clearly state the customer problem, target users, desired outcomes, non-goals, and measurable success criteria. For a platform feature, I would also document API behavior, reliability and performance expectations, security considerations, operational dependencies, rollout strategy, and migration implications. Open questions and key technical trade-offs should be explicit so engineering and stakeholders can make decisions efficiently. How would you handle conflicting priorities from enterprise customers, sales, and platform engineering? I would make each request comparable by connecting it to customer impact, strategic fit, revenue potential, technical effort, risk, and opportunity cost. I would communicate a transparent prioritization framework and distinguish committed roadmap work from exploratory requests. Where a request is important but not broadly scalable, I would look for a constrained solution such as a PoC, configuration, or time-boxed experiment. Which metrics would you use to evaluate the success of an AI inference platform? I would use a balanced scorecard across adoption, experience, reliability, performance, and economics. Core measures could include active customers, inference volume, time to first successful deployment, p50 and p99 latency, throughput, error rate, availability, cost per token, and gross-margin contribution. For enterprise capabilities, I would additionally track PoC conversion, retention, expansion, and support-ticket trends. Opportunity details ## 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. 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. Show more [Apply now >](https://jobicy.com/jobs/157537-senior-technical-product-manager-token-factory-2.md) > Annual salary information is not provided for this position. 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