Service Delivery Manager
Nebius
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This role on the market
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What delivery roles keep asking for: AWS (20%) — counted across their open postings here.
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Preparing for this interview
Interviews for delivery roles keep coming back to AWS. Practise those questions before you sit with Nebius.
Questions you are likely to be asked
- Why do you want to join Nebius?
- What is your experience with Account management? Tell me one thing you learned the hard way.
- How do you decide what goes into the next release and what waits?
- Walk me through a feature you shipped. How did you know it worked?
- Tell me about a time engineering and business wanted different things.
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Practise the Service Delivery Manager at Nebius interview free →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
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Serve as the primary technical point of contact for the customer.
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Manage operational relationship with hyperscale customers.
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Coordinate infrastructure lifecycle including provisioning, maintenance, and incident management.
Service Delivery & SLA Management
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Ensure SLA and SLO compliance for infrastructure services.
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Drive incident management and root cause analysis.
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Track service performance and operational metrics.
Data Center & Infrastructure Coordination
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Work closely with data center operations teams to manage hardware support and infrastructure maintenance.
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Coordinate bare metal deployments, replacements, and capacity expansion.
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Align infrastructure operations with customer workload requirements.
Operational Excellence
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Establish operational processes for hyperscale infrastructure environments.
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Lead service reviews and operational planning with internal and customer teams.
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Improve reliability, response times, and operational workflows.
Cross-Functional Collaboration
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Partner with engineering, networking, and hardware lifecycle teams.
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Support infrastructure scaling and new cluster deployments.
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Participate in planning for large-scale AI compute infrastructure.
We expect you to have:
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5+ years in technical account management, service delivery, or infrastructure operations
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Experience working with hyperscale customers or large enterprise clients
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Background in cloud, AI infrastructure, or data center operations
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Understanding of bare metal infrastructure
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Experience with data center environments
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Familiarity with GPU clusters / AI workloads (preferred)
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Knowledge of networking, hardware lifecycle, and infrastructure monitoring
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Strong stakeholder management
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Ability to operate in high-scale infrastructure environments
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Excellent communication between technical and business teams
It will be an added bonus of you have:
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Experience working with hyperscale companies
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Experience supporting AI / ML infrastructure
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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:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
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.
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Listed on greenhouse · posted 2026-07-31. ApplySarthi collects openings and links to application pages; the role is advertised by Nebius, not by us.