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From the employer's careers site First seen 29 Oct 2026

Senior Technical Product Manager - AI Compute Platform

Nebius Amsterdam Remote senior full-time

The employer hasn't listed a salary.

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Description

We are looking for a Senior Technical Product Manager to join our AI Compute Platform product team. As a Technical Product Manager, you will own one of the slices of our platform end-to-end , from strategy and roadmap through delivery, adoption, and measurable outcomes.

The platform you'll help build includes:

  • Hardware platforms & launch
  • Cluster lifecycle & fleet operations
  • Reliability & Mission Control
  • Customer experience & developer surface
  • GPU & InfiniBand foundational services
  • Managed runtime platforms
  • Platform integrations & emerging workloads
  • Cross-platform program & delivery

Your responsibilities will include:

  • Owning end-to-end product responsibility for your area
  • Designing and owning the platform contracts customers depend on
  • Driving cross-team execution across platform engineering, networking, storage, and product design
  • Turning customer pain into product commitments through structured discovery
  • Engaging engineering as a technical peer
  • Defining and owning success metrics

Requirements:

  • 6+ years in Product Management, Platform PM, Infrastructure PM, or SRE / Engineering Lead
  • Strong technical foundation and cloud-infrastructure depth
  • Experience with cloud, GPU, or HPC infrastructure
  • Track record of shipping technically complex platform products with measurable customer or platform impact
  • Strong analytical skills
  • Experience leading discovery-heavy work
  • Strong communication and ability to align engineering, SRE, customer-facing teams, and exec stakeholders

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

Skills

Nice to have

  • Kubernetes
  • Slurm
  • HPC environments
  • ML training workflows
  • distributed training
  • NVIDIA reference architectures
  • InfiniBand / RoCE fabrics
  • firmware lifecycle
  • topology-aware scheduling

Ready to apply?

You apply with the employer directly. Their original posting is here: https://job-boards.greenhouse.io/nebius/jobs/4897805101

Apply on Nebius