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 are looking for a Product Manager to own the quota experience across Nebius AI Cloud. Quotas control customer access to on-demand resources such as GPU and CPU instances, storage, and IP addresses. They protect customers from accidental overconsumption and help Nebius manage demand and limited capacity without providing an availability guarantee.
You will make quota management transparent and low-friction for customers while giving internal teams effective tools to define policies, review exceptions, and manage quota changes.
Your responsibilities will include
- Define the product vision, roadmap, success metrics, and adoption strategy for the Quotas domain.
- Work with customers and internal stakeholders to identify problems, prioritize opportunities, and deliver measurable product improvements.
- Own quota policies and automation, including default limits and rules for automatic adjustment or human review.
- Improve the complete quota lifecycle: requesting, approving or denying, applying, and communicating quota changes.
- Own the Capacity Dashboard and Capacity Advisor API, helping customers understand available on-demand and preemptible capacity before launching workloads.
We expect you to have
- 5+ years of Product Management experience in cloud infrastructure, developer platforms, enterprise SaaS, or another technical B2B domain.
- Experience owning technically complex products from discovery and strategy through delivery, adoption, and impact measurement.
- Enough technical depth to work with engineering teams on APIs, control-plane systems, resource models, and policy enforcement.
- Strong analytical, customer discovery, and stakeholder management skills.
It will be an added bonus if you have
- Experience with cloud quotas, resource governance, entitlements, or policy systems.
- Familiarity with GPU infrastructure, multi-tenant cloud platforms, or AI/ML workloads.
- Experience automating approval workflows and reducing manual operational processes.
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.
Skills Required
- 5+ years of Product Management experience in cloud infrastructure, developer platforms, enterprise SaaS, or another technical B2B domain
- Experience owning technically complex products from discovery and strategy through delivery, adoption, and impact measurement
- Technical depth sufficient to work with engineering teams on APIs, control-plane systems, resource models, and policy enforcement
- Strong analytical skills
- Strong customer discovery skills
- Strong stakeholder management skills
- Experience with cloud quotas, resource governance, entitlements, or policy systems
- Familiarity with GPU infrastructure, multi-tenant cloud platforms, or AI/ML workloads
- Experience automating approval workflows and reducing manual operational processes
- Authorization to work in the country of application and proof of employment eligibility
What We Do
Cloud platform specifically designed to train AI models
