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TL;DR
Senior Technical Project Manager (Region Delivery) (AI cloud infrastructure): Delivering new compute regions and GPU clusters from hardware handover through acceptance testing and production readiness with an accent on cross-team coordination, capacity validation, and deployment ownership. Focus on resolving live deployment blockers, defining engineering responsibilities, and automating repetitive acceptance-testing work.
Location: Amsterdam, Netherlands; London, United Kingdom; or Remote - Europe
Company
Nebius is building a full-stack AI cloud platform for data processing, model training, and production deployment, covering compute, storage, networking, GPU orchestration, and inference optimization.
What you will do
- Own region and GPU cluster deployment projects from kickoff through production handover.
- Coordinate capacity acceptance, including infrastructure availability, quota allocation, monitoring, alerting, and documented sign-off.
- Coordinate acceptance testing across compute, storage, networking, and GPU engineering teams, clarifying ownership.
- Act as the escalation point during live deployments and resolve hardware, provisioning, and capacity blockers.
- Define team contracts and responsibilities, improve documentation, and reduce cross-team ambiguity.
- Drive automation of repetitive deployment and acceptance-testing work and provide structured status communications.
Requirements
- Proven experience leading technical projects or engineering teams, ideally in infrastructure, cloud, or datacenter environments.
- Ability to coordinate multiple engineering teams and drive alignment without formal authority.
- Calm, decisive communication during live incidents and high-pressure deployments.
- Strong focus on clear ownership and documentation.
- Fluent English required.
- Applicants must be authorized to work in the country in which they apply.
Nice to have
- Experience with cloud or compute capacity management and GPU infrastructure.
- Background in large-scale datacenter rollouts.
Culture & Benefits
- Competitive compensation.
- Career growth and learning opportunities.
- Flexibility and ownership.
- Collaborative, innovative, and international working environment.
- Opportunity to work on impactful AI projects.
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