Service Delivery Manager

About Nebius:

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.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

The role

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.

This role acts as the technical and operational interface between the customer/platform 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.

Your responsibilities will include:

Customer Infrastructure Ownership

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.

Service Delivery & SLA Management

Ensure SLA and SLO compliance for infrastructure services.

Drive incident management and root cause analysis.

Track service performance and operational metrics.

Data Center & Infrastructure Coordination

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.

Operational Excellence

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.

Cross-Functional Collaboration

Partner with engineering, networking, and hardware lifecycle teams.

Support infrastructure scaling and new cluster deployments.

Participate in planning for large-scale AI compute infrastructure.

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 of you have:

Experience working with hyperscale companies

Experience supporting AI / ML infrastructure

Experience with GPU clusters

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

Equal Opportunity Statement:

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.