Technical Product Manager - Soperator

About the role

<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&amp;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&amp;D.</p></div><p><strong><span data-ccp-props="{}">The role</span></strong></p> <p>At Nebius, we’re building a next-generation AI compute platform for large-scale ML training and inference — from a few nodes to thousands of GPUs.<br>We’re looking for a <strong>Technical Product Manager</strong> to own product direction for <strong>Soperator</strong> — our Slurm-on-Kubernetes control plane for GPU clusters.<br>In this role, you will shape how ML engineers and research teams run, scale, and optimize distributed workloads in production.<br>If you care about systems that combine <strong>performance, reliability, and developer experience</strong> at the frontier of AI infrastructure, this role is for you.</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}">&nbsp;</span></p> <p><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)">• Own the full user journey across Soperator clusters: Slurm workflows, dashboards, alerts/notifications, node lifecycle, and training/inference capacity management.<br>• Define product direction end-to-end: <strong>problem discovery → solution design → delivery → adoption</strong>.<br>• Lead deep customer discovery through interviews, usage analytics, and workload analysis to uncover high-impact opportunities.<br>• Drive execution across platform teams: <strong>compute, networking, storage, observability, IAM and etc.</strong><br>• Translate frontier ML and infrastructure ideas into practical product capabilities for real-world GPU clusters.<br>• Define success metrics, prioritize roadmap decisions with data, and ensure measurable customer/business impact.<br>• Lead the <strong>open-source strategy and execution</strong> for Soperator: shape public roadmap themes, prioritize OSS-facing capabilities, and ensure strong adoption in the community. </span></span><span data-ccp-props="{"134233117":true,"134233118":true}">&nbsp;</span></p> <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}">&nbsp;</span></p> <p>• 3–5+ years in Product Management, ML infrastructure/MLOps, distributed systems, or cloud platform engineering.<br>• Strong technical depth in distributed systems, cloud infrastructure, or ML platforms.<br>• Hands-on familiarity with large-scale ML training and orchestration tools (e.g., <strong>Slurm, Kubernetes, Ray</strong>).<br>• Track record of shipping technically complex products with multiple engineering teams.<br>• Strong communication and stakeholder management across engineering, research, and customers.<br>• Experience with product analytics, data-informed prioritization, and experimentation.<br>• High ownership, high learning velocity, and comfort operating in fast-moving AI infrastructure environments.</p> <p><strong><span data-contrast="auto"><span data-ccp-charstyle="Strong">It will be an added bonus if you have:</span></span></strong><span data-ccp-props="{"134233117":true,"134233118":true}">&nbsp;</span></

Skills