Hyperscale AI Infra Delivery Lead

Nebius B.V.; Amsterdam; On-site; EUR 90,000 - 120,000; Full time

Job summary

Nebius B.V. in Amsterdam is seeking a Service Delivery Manager to support strategic hyperscale customers using bare metal and GPU cloud AI infrastructure in Nebius data centers.

You will coordinate across data center operations, network, hardware lifecycle, and infrastructure engineering teams to ensure reliable service delivery, SLA compliance, and smooth operations of large-scale GPU clusters.

Qualifications

• Minimum 5+ years in technical account management, service delivery, or infrastructure operations.
• Experience 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 and AI workloads (preferred).
• Strong stakeholder management and cross-functional collaboration.

Responsibilities

• Serve as the primary technical point of contact for the customer.
• Coordinate infrastructure lifecycle including provisioning, maintenance, and incident management.
• Ensure SLA/SLO compliance and drive incident management.
• Track service performance and operational metrics.
• Work with data center operations to manage hardware support and capacity.
• Lead service reviews and operational planning with internal and customer teams.
• Collaborate with engineering, networking, and hardware lifecycle teams for scaling.

Skills

Technical account management

Service delivery

Infrastructure operations

Cloud infrastructure

AI infrastructure

Data center operations

Bare metal infrastructure

GPU clusters

Stakeholder management

High-scale environments

Communication

Job description

Nebius B.V. in Amsterdam is seeking a Service Delivery Manager to support strategic hyperscale customers using bare metal and GPU cloud AI infrastructure in Nebius data centers.

You will coordinate across data center operations, network, hardware lifecycle, and infrastructure engineering teams to ensure reliable service delivery, SLA compliance, and smooth operations of large-scale GPU clusters.