# Senior Technical Product Manager - AI Compute Platform

**Company**: Nebius
**Location**: Amsterdam
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Product Management
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/nebius/jobs/4897805101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d3cab776-fc1

## 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

### Required
- cloud infrastructure
- GPU
- HPC
- product management
- platform engineering
- networking
- storage
- analytical skills
- communication

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

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/nebius/jobs/4897805101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)