Senior Technical Product Manager - Token Factory

<div class="content-intro"><p><strong>About Nebius:</strong></p> <p>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.</p> <p>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.</p> <p>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.</p></div><h3><strong><span data-ccp-props="{}">The role</span></strong></h3> <p>We’re building Nebius Token Factory, an AI inference platform for high-performance, cost-efficient workloads at scale, serving both developers and managed enterprise customers. As a Senior/Principal Product Manager, Inference Platform, you’ll join a team of PMs under the Inference Platform lead and own a core platform stream end to end, from strategy and roadmap to launch and adoption. The scope evolves quickly with the market (new models, modalities, hardware and customer needs), with a strong emphasis on scalability and reliability.</p> <p><strong><span data-contrast="auto"><span data-ccp-charstyle="Strong">Your responsibilities will include:</span></span></strong><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></p> <ul> <li> <p data-renderer-start-pos="572" data-local-id="798c65502881">Own the roadmap and outcomes for a part of the inference platform, aligning several cross-functional engineering teams across public API, routing, performance, reliability and enterprise enablement features.</p> </li> <li> <p data-renderer-start-pos="783" data-local-id="15c328d33459">Work with engineering and research to make inference more scalable, reliable and cost-efficient, and turn that into capabilities customers can depend on.</p> </li> <li> <p data-renderer-start-pos="940" data-local-id="9761873c098b">Stay close to customers through research, interviews and hands-on PoCs, especially in managed enterprise.</p> </li> <li> <p data-renderer-start-pos="1049" data-local-id="63a94cd52700">Track the market: open-source models, inference economics, and how businesses actually apply AI. Turn what you see into product bets.</p> </li> </ul> <p><strong><span data-contrast="auto"><span data-ccp-charstyle="Strong">We expect you to have:</span></span></strong><span data-ccp-props="{"134233117":true,"134233118":true}"> </span>&l