Nebius

Service delivery manager in AI infrastructure

In short

This Service Delivery Manager role at a cloud/AI infrastructure company involves being the primary technical point of contact for hyperscale customers using bare metal and GPU cloud infrastructure. It covers managing infrastructure lifecycle, SLA/SLO compliance, incident management, and coordinating with data center, engineering, and hardware teams. The role requires 5+ years of experience in technical account management, service delivery, or infrastructure operations, along with strong stakeholder management and knowledge of bare metal, networking, and GPU/AI infrastructure. It is an onsite, senior-level position based in Amsterdam.

About the Role
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. We are looking for a Service Delivery Manager to support strategic hyperscale customers using bare metal and GPU cloud AI infrastructure in Nebius data centers.
Responsibilities
•Serve as the primary technical point of contact for the customer
•Manage operational relationship with hyperscale customers
•Coordinate infrastructure lifecycle including provisioning, maintenance, and incident management
•Ensure SLA and SLO compliance for infrastructure services
•Drive incident management and root cause analysis
•Track service performance and operational metrics
•Work closely with data center operations teams to manage hardware support and infrastructure maintenance
•Coordinate bare metal deployments, replacements, and capacity expansion
•Align infrastructure operations with customer workload requirements
•Establish operational processes for hyperscale infrastructure environments
•Lead service reviews and operational planning with internal and customer teams
•Improve reliability, response times, and operational workflows
•Partner with engineering, networking, and hardware lifecycle teams
•Support infrastructure scaling and new cluster deployments
•Participate in planning for large-scale AI compute infrastructure
Requirements
•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
Nice to Have
•Experience working with hyperscale companies
•Experience supporting AI / ML infrastructure
•Experience with GPU clusters
What We Offer
•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
•Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

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