About the company
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.
Responsibilities
- Define the vision, product strategy, success metrics, and investment priorities for Platform Experience.
- Lead and grow a team of Product Managers, establishing clear ownership and strong product practices across the group.
- Create a consistent, API-first and agentic-first developer experience across CLI, Terraform, SDKs, public APIs, documentation, and Nebius Echo.
- Reduce time-to-first-value and make the path from PoC to production predictable through clear end-to-end journeys, actionable errors, and effective guidance.
- Lead the evolution of capacity and quota management and the resource model required for enterprise, partner, multi-region, and multi-tenant use cases.
- Build a unified approach to customer-facing notifications and communications, including maintenance, incidents, and multi-product events.
Requirements
- 7+ years of Product Management experience, including experience leading and developing Product Managers.
- Experience owning a portfolio or product group spanning multiple technically complex products and teams.
- A strong background in cloud infrastructure, developer platforms, enterprise SaaS, or another technical B2B domain.
- Enough technical depth to work with engineering leaders on APIs, developer tooling, resource models, multi-tenancy, and distributed platform systems.
- Strong product strategy, customer discovery, analytical, and executive stakeholder management skills.
- It will be an added bonus if you have: Experience with public APIs, infrastructure-as-code tools, developer documentation, or AI-assisted developer experiences. Familiarity with GPU infrastructure, AI/ML workloads, or capacity-constrained cloud products.
Conditions
- 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