About
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.
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.
Nice to 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
•Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
