Nebius Group

Technical Product Manager – Mission Control

Nebius Group

full-time

Posted on:

Location Type: Remote

Location: Netherlands

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About the role

  • Own reliability and performance opportunities across the Nebius stack: from bare metal to applications.
  • Define product direction end-to-end: problem discovery → design → delivery → adoption.
  • Drive cross-functional execution across compute, networking, storage, observability, platform, and hardware teams.
  • Lead deep problem research using customer interviews, analytics, workload studies, and logs investigations.
  • Identify and prioritize bottlenecks affecting large-scale training/inference performance and stability.
  • Translate advanced ML/infrastructure research into practical, scalable product capabilities.
  • Define and operationalize product metrics for cluster experience (e.g. reliability, efficiency, latency-to-start, utilization, throughput).

Requirements

  • 3–5+ years of experience in one or more of: product management, HPC, ML infrastructure/MLOps, distributed systems, SRE, cloud architecture, or GPU platforms.
  • Strong technical foundation in distributed systems, cloud infrastructure, or ML platforms.
  • Hands-on familiarity with ML orchestration environments (e.g. Slurm, Kubernetes, Ray, or similar).
  • Experience delivering technically complex initiatives with multiple engineering teams.
  • Strong communication skills and ability to influence engineering, research, and customer stakeholders.
  • Experience using analytics and data to prioritize roadmap decisions.
  • High ownership, learning speed, and comfort in fast-evolving AI infrastructure environments.
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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
product managementHPCML infrastructureMLOpsdistributed systemsSREcloud architectureGPU platformsML orchestrationanalytics
Soft Skills
strong communicationinfluencehigh ownershiplearning speedadaptability