Technical Product Manager – Cluster Experience

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🕒 December 16, 2025

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Nebius Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏢 Enterprise

☁️ SaaS

AI • Enterprise • SaaS

Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.

📋 Description

• Own key tracks in Cluster Experience: reliability, performance, and user experience for distributed ML workloads. • Define product direction from problem discovery → design → delivery → adoption, working closely with engineering and research teams. • Drive cross-functional execution across compute, networking, storage, observability, and platform teams. • Perform deep customer research: interviews, analytics, and workload studies to identify bottlenecks across hardware, network, scheduler, and runtime. • Translate state-of-the-art ML papers ideas into practical, scalable product features for large GPU clusters. • Shape how users interact with clusters - from dashboards and notifications to partitioning, node management, and training observability.

🎯 Requirements

• 3–5+ years of experience in product management, ML infrastructure/MLOps, distributed systems engineering, or cloud architecture. • Strong technical foundation in computer science, distributed systems, or ML infrastructure. • Hands-on familiarity with ML training, ideally using orchestrators like Slurm, Kubernetes, Ray, or similar systems. • Proven ability to ship technically complex features with multiple engineering teams. • Excellent communicator capable of influencing engineering, research, and customer stakeholders. • Experience with product analytics, data-driven prioritization, and experiment design. • Strong willingness and ability to learn quickly in a fast-evolving ML and infrastructure environment.

🏖️ Benefits

• Competitive salary and comprehensive benefits package. • Opportunities for professional growth within Nebius. • Flexible working arrangements. • A dynamic and collaborative work environment that values initiative and innovation.