Technical Product Manager

The role The role is to own product direction for Soperator — our Slurm-on-Kubernetes control plane for GPU clusters. In this role, you will shape how ML engineers and research teams run, scale, and optimize distributed workloads in production. You will own the full user journey across Soperator clusters: Slurm workflows, dashboards, alerts/notifications, node lifecycle, and training/inference capacity management. You will define product direction end-to-end: problem discovery → solution design → delivery → adoption. You will lead deep customer discovery through interviews, usage analytics, and workload analysis to uncover high-impact opportunities. You will drive execution across platform teams: compute, networking, storage, observability, IAM and etc. You will translate frontier ML and infrastructure ideas into practical product capabilities for real-world GPU clusters. You will define success metrics, prioritize roadmap decisions with data, and ensure measurable customer/business impact. You will lead the open-source strategy and execution for Soperator: shape public roadmap themes, prioritize OSS-facing capabilities, and ensure strong adoption in the community. We expect you to have: 3–5+ years in Product Management, ML infrastructure/MLOps, distributed systems, or cloud platform engineering; strong technical depth in distributed systems, cloud infrastructure, or ML platforms; hands-on familiarity with Slurm, Kubernetes, Ray; track record of shipping technically complex products with multiple engineering teams; strong communication and stakeholder management across engineering, research, and customers; experience with product analytics, data-informed prioritization, and experimentation; high ownership, high learning velocity, and comfort operating in fast-moving AI infrastructure environments. It will be an added bonus if you have: Experience with GPU platforms and HPC primitives; PyTorch, DeepSpeed, FSDP/ZeRO, NCCL; observability and SRE/reliability engineering; exposure to large-scale LLM training/inference systems; customer-facing technical experience. About Nebius Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. We are growing and expanding our products every day. Benefits & Perks: 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. What’s it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI. Equal Opportunity Statement: Nebius is an equal opportunity employer. Applicants must be authorized to work in the country in which they apply.