Senior Product Manager - Inference Platform

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’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. You are welcome to work remotely from the US. Your responsibilities will include: • 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. • Work with engineering and research to make inference more scalable, reliable and cost-efficient, and turn that into capabilities customers can depend on. • Stay close to customers through research, interviews and hands-on PoCs, especially in managed enterprise. • Track the market: open-source models, inference economics, and how businesses actually apply AI. Turn what you see into product bets. We expect you to have: • Experience shipping technical platform products, with the seniority to lead work across multiple engineering teams. • Real technical depth in how AI inference works, including model serving, distributed systems and production infrastructure. You think problems through yourself rather than relying on engineers to define them. • Strong communication and expectations management across engineering, research, sales, support and leadership. You write crisp PRDs, RFCs and release notes. • B2B/enterprise experience with technical buyers. • Comfort with ambiguity and shifting scope It will be an added bonus if you have: • Post-training experience, including training draft models. • Experience with third-party technical partnerships. Key employee benefits in the US: • Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. • 401(k) plan: Up to 4% company match with immediate vesting. • Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. • Remote work reimbursement: Up to $85/month for mobile and internet. • Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $228,000 — $285,000 USD Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International