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Technical Product Manager - AI Compute Platform

1 month, 4 weeks ago
Europe, Netherlands
Full-time
Senior
Technical Product Manager
DevOps and Infrastructure
AWS Azure Cloudflare Datadog GCP Grafana Honeycomb Kubernetes New Relic Render Supabase Vercel
Apply Now
Nebius

Nebius

Nebius enables B2B companies to build local hyperscaling cloud platforms with cost-effective GPUs, InfiniBand network, and 50% less compute cost. They offer managed Kubernetes and a launch-ready business model for innovative cloud solutions.

Internet Software & Services
51-250
View All Jobs 98

Description

  • Own end-to-end product responsibility for a platform area, from strategy and roadmap through delivery, adoption, and measurable outcomes.
  • Design and own platform contracts customers depend on, including APIs, semantics, system events, and operational behavior.
  • Drive cross-team execution across engineering, networking, storage, observability, IAM, billing, capacity planning, support, and product design.
  • Turn customer pain into product commitments through structured discovery using interviews, usage analytics, support patterns, and incident postmortems.
  • Engage engineering leaders as a technical peer and contribute to API design and system trade-off decisions.
  • Define and own success metrics tied to customer and platform impact.
  • Serve as the product escalation point for support, CX, and TAM teams when product decisions are needed.
  • Build and improve platform capabilities across areas such as GPU and CPU launches, cluster lifecycle, reliability, developer surfaces, managed runtimes, integrations, and cross-platform programs.

Requirements

  • 6+ years of experience in Product Management, Platform PM, Infrastructure PM, or SRE / Engineering Lead roles with strong product instincts.
  • Strong technical foundation in cloud infrastructure, including API semantics, control-plane vs data-plane behavior, system events, lifecycle, and multi-tenant operations.
  • Experience building or operating cloud, GPU, or HPC infrastructure at meaningful scale, including thousands of nodes or multi-region environments.
  • Track record of shipping technically complex platform products with measurable customer or platform impact.
  • Strong analytical skills, including defining product metrics, working with telemetry, and building data-informed roadmaps.
  • Experience leading discovery-heavy work such as customer interviews, usage analytics, and support-ticket analysis.
  • Strong communication skills and the ability to align engineering, SRE, customer-facing teams, and executive stakeholders.
  • High ownership, a bias to ship, and comfort operating in messy production environments.
  • Experience with frontier AI customers, ML platform teams, or MLOps workflows is preferred.
  • Familiarity with Kubernetes, Slurm, HPC environments, distributed training, NVIDIA hardware and software stack, observability tools, reliability metrics, or developer-experience products is preferred.
  • Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility.

Benefits

  • 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.

Interested in this position?

Apply directly on the company website

Apply Now

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