About the company
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.
Responsibilities
- Analyze historical and current consumption of cloud resources and identify trends, anomalies, and potential capacity constraints.
- Build and maintain capacity forecasts for infrastructure resources and translate them into concrete capacity requirements across multiple data centers.
- Initiate capacity requests and work with Supply Chain teams throughout the purchasing and delivery process.
- Maintain a clear end-to-end view of capacity expansions, from forecast and capacity requirements through procurement, delivery, installation, deployment, and availability for customers.
- Coordinate expansion plans with data center teams, including installation schedules and infrastructure readiness.
- Coordinate with engineering teams to plan deployment of new capacity.
- Provide engineering, product, and business stakeholders with clear and reliable information about capacity plans, delivery timelines, current status, dependencies, and risks.
Requirements
- Have experience in technical project/program management, data analytics, capacity planning, infrastructure planning, or a similar role.
- Have a strong analytical background and be comfortable making decisions based on quantitative data.
- Understand basic statistical concepts and forecasting methods and know their practical limitations.
- Be comfortable communicating with infrastructure engineers and understanding technical constraints and dependencies.
- Be able to coordinate work across multiple independent teams without relying on direct authority.
- Have strong written and verbal communication skills and be able to translate technical and analytical information into clear plans, decisions, risks, and status updates for different audiences.
- Take ownership of outcomes: proactively identify upcoming problems, drive decisions, follow up on commitments, and ensure that issues do not disappear between teams.
Conditions
- 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