
Service Delivery Manager
Nebius
Service Delivery Manager
Nebius is seeking a Service Delivery Manager to support strategic hyperscale customers using bare metal and GPU cloud AI infrastructure in Amsterdam. The role involves managing customer relationships, ensuring SLA compliance, and coordinating infrastructure operations across data center, network, and engineering teams. Requires 5+ years in technical account management or infrastructure operations, with experience in cloud, AI infrastructure, or data center environments.
Service Delivery Manager
Nebius is seeking a Service Delivery Manager to support strategic hyperscale customers using bare metal and GPU cloud AI infrastructure in Amsterdam. The role involves managing customer relationships, ensuring SLA compliance, and coordinating infrastructure operations across data center, network, and engineering teams. Requires 5+ years in technical account management or infrastructure operations, with experience in cloud, AI infrastructure, or data center environments.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Preferred Qualifications
Technical (Nice-to-have)
Key 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.