About this role.
Nebius is building an AI inference platform called Token Factory. As a Senior Technical Product Manager, you will own one of the core product streams, specifically Dedicated Endpoints for AI Models Inference. You'll drive the product roadmap, collaborate with engineering and research, support sales and customers, and ensure product-market fit. This role requires a hands-on technical background, excellent communication, and a bias toward action. It is a remote or hybrid position based in the UK or Amsterdam, offering the chance to work on cutting-edge AI infrastructure.
Role DNA
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4/5Pace & Pressure
4/5Autonomy Level
5/5Communication Load
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Core skills
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Cover letter sample
Dear Hiring Team,
I am excited to apply for the Senior Technical Product Manager position at Nebius. With over 5 years of experience in product management for AI and cloud-native platforms, I have a proven track record of delivering high-performance inference solutions. My hands-on technical skills and customer obsession align perfectly with Nebius's mission to power AI workloads at scale.
In my previous role, I led the launch of a dedicated inference endpoint product that reduced latency by 30% for enterprise customers. I thrive in fast-paced environments and take full ownership of product roadmaps from conception to adoption.
I am particularly drawn to Nebius's focus on building for engineers and the opportunity to shape the Token Factory platform. I look forward to discussing how I can contribute to your team.
Sincerely, [Candidate Name]
Sample interview questions
I use a combination of qualitative customer feedback, quantitative usage data, and strategic alignment with company goals. I weight impact on user experience and technical feasibility, and I'm comfortable making data-informed trade-offs.
At my previous company, I led the launch of a new API product. I coordinated with 15+ cross-functional stakeholders, created a detailed rollout plan with milestones, and ran weekly sync meetings to address blockers. The launch was on time and exceeded adoption targets by 20%.
I stay hands-on by using our own platform for experiments, reading internal documentation, and pairing with engineers to understand latency, cost, and scaling trade-offs. I also attend architecture reviews to stay informed.
I break down the problem, identify the core value proposition, and run small experiments or prototypes to validate assumptions. I communicate early and often with stakeholders to align on direction and adapt as we learn.
I'm passionate about AI infrastructure and the opportunity to build a platform that enables developers to run inference at scale. Nebius's engineering-first culture and focus on solving hard problems like GPU orchestration align with my values and expertise.
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
- 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.
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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