Estimated based on role seniority, company stage (Public), and industry benchmarks. Actual compensation may vary.
Based on Web3 & AI industry compensation data. Seniority is inferred from role title keywords. Company stage affects ranges: early-stage (−15%), late-stage/public (+10%).
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
We are looking for a Service Delivery Manager to support strategic hyperscale customers using bare metal AI infrastructure in Nebius data centers.
This role acts as the technical and operational interface between the customer and Nebius infrastructure teams, ensuring reliable service delivery, SLA compliance, and smooth operations of large-scale GPU clusters and bare metal environments.
You will coordinate across data center operations, network, hardware lifecycle, and infrastructure engineering teams to deliver world-class infrastructure services for large AI workloads.
You’re welcome to work in our office in Amsterdam, the Netherlands.
Your responsibilities will include:
Customer Infrastructure Ownership
Service Delivery & SLA Management
Data Center & Infrastructure Coordination
Operational Excellence
Cross-Functional Collaboration
We expect you to have:
5+ years in technical account management, service delivery, or infrastructure operations
Experience working with hyperscale customers or large enterprise clients
Background in cloud, AI infrastructure, or data center operations
Understanding of bare metal infrastructure
Experience with data center environments
Familiarity with GPU clusters / AI workloads (preferred)
Knowledge of networking, hardware lifecycle, and infrastructure monitoring
Strong stakeholder management
Ability to operate in high-scale infrastructure environments
Excellent communication between technical and business teams
It will be an added bonus if you have:
Experience working with hyperscale companies
Experience supporting AI / ML infrastructure
Experience with GPU clusters
What we offer
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!
Full-stack AI cloud infrastructure platform for model training, tuning, and deployment. Spun out from Yandex, listed on Nasdaq (NBIS).
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