Amsterdam, Netherlands;
We are looking for a Technical Project Manager to own server and rack-level production projects for large-scale AI datacenter infrastructure. This role connects capacity planning, hardware architecture, procurement, ODM manufacturing, logistics, and datacenter deployment teams. You will make sure the right GPU, compute, and storage infrastructure is ordered, produced, delivered, and deployed on time. The role requires strong server hardware knowledge, structured project management, vendor coordination, and high ownership across adjacent work-streams.
Your responsibilities will include:
Align server and rack requirements with capacity planning and datacenter architecture teams. Translate project demand into hardware inputs for procurement and ODM production.
Decompose required key parts, including CPUs, memory, drives, NICs, and other critical components. Validate that procured components are compatible with required server configurations.
Place and track production orders with ODM partners. Coordinate BOM readiness, component availability, and production timelines.
Manage a portfolio of production projects across multiple projects and vendors. Track risks, blockers, dependencies, and recovery plans.
Escalate issues early, including BOM problems, shortages, quality risks, factory delays, payment delays, export license issues, and deployment schedule changes. Visit factories when needed to support quality control, production execution, and timeline recovery.
Track adjacent processes such as POs, invoices, export licenses, payments, logistics bookings, and required documentation.
Provide regular production status, risk updates, and decision points to stakeholders.
Drive issue resolution across planning, procurement, production, testing, logistics, delivery, and deployment.
Continious improvements after each production cycle. Improve ODM requirements, supplier expectations, internal processes, reporting, and tooling. Gather deployment and operations feedback and convert it into future production improvements.
We expect you to have:
Experience managing complex hardware production, manufacturing, supply chain, infrastructure, or datacenter delivery projects.
Strong understanding of modern server architectures, especially high-performance GPU-based environments.
Knowledge of server components and ability to configure hardware for different service needs.
Ability to quickly adapt to new server platforms, components, and technologies.
Experience working with ODMs, OEMs, factories, hardware vendors, or contract manufacturers.
Experience with BOMs, component planning, production timelines, and factory execution.
Strong project management skills, including Gantt charts, milestones, dependencies, and risk tracking.
Excellent problem-solving skills and ability to work under tight deadlines.
Strong communication, negotiation, and vendor management skills.
High ownership, structured thinking, and ability to drive work-streams outside the narrow TPM scope.
It will be an added bonus if you have:
Basic understanding of GPU infrastructure including diagnostics/troubleshooting of GPU.
Ability to collect system logs and hardware diagnostics, with a general understanding of BIOS/BMC functionality and their interaction with the operating system and hardware components.
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
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Published on: 8/5/2026

Nebius
The Nebius AI Cloud brings powerful full-stack infrastructure for AI developers and practitioners across startups, enterprises and science institutes to build and deploy generative AI applications and rapidly deliver scientific breakthroughs by training and running ML models within a secure, high-performance, and cost-optimized cloud environment.
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