Director of Product, Ecosystem

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. Director of Product, Ecosystem Nebius builds the infrastructure serious AI teams run on — GPU clusters, inference runtimes, development environments, and data pipelines purpose-built for demanding AI workloads. We’re looking for a hands-on product leader to help shape our platform for the next generation of AI applications. Your focus will be agentic infrastructure : the capabilities developers and enterprises need to build, run, and scale systems that reason, use tools, and take action. As Director of Product, Ecosystem , you will identify emerging customer needs, explore new product opportunities, and turn promising ideas into capabilities developers choose to build on. You will combine product judgment, technical experimentation, and close relationships across the AI ecosystem to shape what Nebius builds and how it works with other platforms and tools. Your responsibilities Define product direction Own the product vision, priorities, and roadmap for emerging opportunities in agentic infrastructure. Work directly with developers and enterprise teams to understand their workflows, technical constraints, and unmet needs. Translate customer insights and ecosystem developments into clear product decisions and scoped releases. Partner with engineering and design throughout discovery, development, launch, and iteration. Define success through developer adoption, production usage, customer outcomes, and business impact. Explore and build hands-on Build prototypes, sample applications, and integrations to test ideas and make product decisions concrete. Use Nebius and relevant ecosystem tools firsthand to understand the developer experience and identify gaps. Work through technical tradeoffs with engineering, including performance, reliability, security, and cost. Validate new concepts with customers and turn successful experiments into production offerings. Help create reference architectures and examples that make it easier for developers to get started. Connect the ecosystem to the platform Build close relationships with founders, technical leaders, and developers shaping how AI applications are built. Evaluate emerging tools and technologies through direct experimentation and customer feedback. Identify where Nebius should build, integrate, or partner to deliver a stronger product experience. Lead the product side of selected partnerships, from initial concept through integration, launch, and adoption. Bring external insights into platform planning and help leadership prioritize investments. Drive adoption and iteration Work with developer relations, marketing, sales, and field teams to bring new capabilities to market. Stay close to early users, resolve adoption barriers, and feed production learnings into the roadmap. Develop a repeatable path from customer discovery and experimentation to products with sustained usage. Product scope This role spans the infrastructure and developer experience that support applications. Opportunities may include how applications access models and tools, manage context and state, execute workloads, connect to data, and operate reliably in production. Your scope will evolve with customer needs and the platform’s direction. We value the ability to find the right problems, develop a clear product thesis, and deliver useful capabilities across this landscape. We expect you to have 8+ years of relevant experience building technical products, with meaningful ownership of AI infrastructure, cloud platforms, or developer tools. A track record of taking products from an ambiguous customer problem to production adoption, with measurable outcomes. Strong technical fluency and the ability to work through architecture and implementation decisions with engineers. A hands-on approach: You can use APIs and SDKs, explore unfamiliar tools, and build working prototypes to test your thinking. Experience designing developer experiences across APIs, integrations, documentation, and operational workflows. Familiarity with how AI applications are built and an informed perspective on the infrastructure needs of increasingly systems. Strong customer discovery skills and sound judgment about which needs can support a repeatable product. Clear written and verbal communication, including product proposals, technical tradeoffs, and investment recommendations. Comfort setting direction, making decisions, and delivering in a fast-moving environment. It will be an added bonus if you have Founded a company or served as an early product or engineering leader at an AI or infrastructure startup. Built products used by developers to create or operate AI applications. Experience with distributed systems, cloud infrastructure, or production AI workloads. Contributed to open-source projects or worked closely with developer communities. Built technical partnerships that led to successful integrations or new product capabilities.