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.
Nebius is looking for a Technical Program Manager to join our Capacity team and drive capacity expansion across our data centers.
In this role, you will work at the inersection of data analysis, infrastructure engineering, procurement, data center operations, and product teams. You will analyze how cloud resources are consumed, forecast future demand, identify capacity risks, and coordinate infrastructure expansions — from identifying the need for additional capacity to making that capacity available to customers.
The role covers several key cloud resources, including compute and storage capacity, ultimately translating demand forecasts into requirements for additional servers across our data centers.
This is a hands-on, analytical role. We are looking for someone who is comfortable working with metrics and forecasts and can use data to make decisions, while also being able to coordinate complex cross-functional projects involving multiple engineering and business teams.
Your responsibilities will include
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.
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.
It would be a strong advantage if you have:
Have worked as a data or product analyst before moving into project or program management.
Can independently query data using SQL.
Have hands-on experience with monitoring and BI tools such as Grafana, DataLens, or similar platforms.
Have experience with capacity planning, demand forecasting, or infrastructure resource management.
Understand the basic architecture of cloud or data center infrastructure, including servers, racks, compute, storage, networking, and their operational dependencies.
Have experience working with procurement, hardware supply chains, or physical infrastructure deployments.
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.
Skills Required
- Experience in technical project or program management, data analytics, capacity planning, infrastructure planning, or a similar role
- Strong analytical background and ability to make decisions based on quantitative data
- Understanding of basic statistical concepts and forecasting methods, including their practical limitations
- Ability to communicate with infrastructure engineers and understand technical constraints and dependencies
- Ability to coordinate work across multiple independent teams without direct authority
- Strong written and verbal communication skills, including translating technical and analytical information into clear plans, decisions, risks, and status updates
- Ownership of outcomes, including proactively identifying problems, driving decisions, following up on commitments, and resolving cross-team issues
- Prior experience as a data or product analyst before moving into project or program management
- Ability to independently query data using SQL
- Hands-on experience with monitoring and business intelligence tools such as Grafana or DataLens
- Experience with capacity planning, demand forecasting, or infrastructure resource management
- Understanding of cloud or data center infrastructure architecture, including servers, racks, compute, storage, networking, and operational dependencies
- Experience with procurement, hardware supply chains, or physical infrastructure deployments
What We Do
Cloud platform specifically designed to train AI models
