Technical Product Manager (Compute)

Posted 4 Days Ago
Be an Early Applicant
Amsterdam
Entry level
Artificial Intelligence • Information Technology • Consulting
The Role
The Technical Product Manager will manage compute services including virtual machines and GPU clusters, oversee backlog and key projects, and collaborate with teams to define product features focusing on performance and reliability.
Summary Generated by Built In
About Nebius

Nebius is a Nasdaq-listed tech company that aims to become one of the world’s leading AI infrastructure providers. Headquartered in Amsterdam, we have R&D and commercial hubs across the US, Europe and Israel. 

We build full-stack AI infrastructure to service the explosive growth of the global AI industry, including large-scale GPU clusters, cloud platforms and tools and services for developers. Our 500 employees include around 400 highly skilled engineers with a proven track record of developing world-class hardware and software solutions across cloud and AI/ML.  

We are rapidly growing our infrastructure network with an ambitious investment program to build out data centers and colocations in the US and Europe. A Reference Platform NVIDIA Cloud Partner, Nebius’ AI-native cloud platform provides high-end infrastructure and tools for training, fine-tuning and inference.  

Nebius is growing fast, and we’re always looking for the best talent to join our company. Along with highly competitive compensation and extensive opportunities for professional development, we offer a dynamic work environment where innovation, creativity and teamwork are highly prized and open up exciting new opportunities. As an equal opportunity employer, we are committed to fostering a diverse and inclusive workplace, where all applicants are given fair consideration and every team member is empowered to contribute to their fullest potential. 


The role 

We're looking for a Technical Product Manager - Compute (hypervisor) to join our team. In this role, you will manage the plans and priorities for services related to compute, including Virtual machines (CPU and GPU), GPU clusters, disks, API (compute part). You will be responsible for forming and managing backlogs for compute service teams and overseeing key company projects involving compute and gpu.


Responsibilities

  • Manage the backlog for compute service teams.
  • Oversee key company projects involving compute services.
  • Collaborate with cross-functional teams to define product features and requirements.
  • Ensure the successful delivery of compute services, focusing on performance, scalability and reliability.


Requirements

  • Experience with hypervisor technologies in roles such as Engineer, Cloud Solutions Architect, Cloud Architect, or Systems Architect.
  • Experience implementing production-grade products based on virtualisation.
  • Familiar with technologies and products such as kvm, qemu, kubevirt, openstack nova.
  • Extensive technical expertise in the IaaS stack, including Linux based operating systems, Storage, and Network.
  • Strong technical knowledge in at least two of these areas is essential.
  • Relevant experience in ML and HPC is desirable but not mandatory, as the candidate is expected to adapt and learn quickly.
  • Product management experience is not required but a willingness to learn is essential.


Ideal Candidate

  • Individuals from hyperscalers (AWS, GCP, Azure) or other public cloud providers and their partners.
  • Relevant experience in building private clouds within big tech companies or smaller tech firms.
  • Global market experience is not mandatory.
  • Relevant experience in ML and HPC is desirable but not mandatory, as the candidate is expected to adapt and learn quickly.
  • Product management experience.

What we offer 

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

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

Top Skills

Hypervisor,Kvm,Qemu,Kubevirt,Openstack
The Company
473 Employees
On-site Workplace

What We Do

Cloud platform specifically designed to train AI models

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