About the Role
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.
Tasks
•Learning how the Capacity Management function operates and how it interacts with other teams.
•Interviewing team members and cross-functional stakeholders to collect and validate information.
•Mapping our main areas of responsibility, workflows, dependencies and stakeholder interfaces.
•Designing a clear information architecture for the Capacity Management Confluence space.
•Creating a practical home page that helps different audiences find the right information quickly.
•Developing or improving onboarding materials for new team members and partners.
•Documenting key processes, ownership areas, terminology, decision paths and working agreements.
•Collecting feedback from users and improving the content based on how it works in practice.
Requirements
•You are currently completing, or have recently completed, a degree in engineering, computer science, information systems, operations management or a related field.
•You can bring structure to incomplete, scattered or ambiguous information.
•You can explain complex subjects in simple, precise language.
•You are comfortable asking questions, listening carefully and following up until you understand how something really works.
•You can distinguish between a process as it is intended to work and how it works in practice.
•You are interested in cloud infrastructure, technical operations and cross-functional project management.
•You pay attention to detail without losing sight of the larger picture.
•You are comfortable collaborating with both technical specialists and managers.
•You do not need to be a cloud infrastructure expert when you join. Curiosity, analytical thinking and the ability to learn quickly are more important.
Nice to have
•Experience with Confluence or similar collaboration tools.
•Worked on university, volunteer or personal projects involving several stakeholders.
•Familiarity with cloud infrastructure concepts, capacity planning or service operations.
•An interest in technical project or program management as a career.
Conditions
This Early Talent Program offers a close-up view of how cross-functional management works in a fast-growing cloud infrastructure organization. See how technical, commercial and operational priorities are coordinated in practice. Discover the real-world dependencies behind cloud infrastructure at scale. Learn how capacity decisions connect engineering, hardware, finance, product and customer demand. Understand how ownership boundaries, working agreements and escalation paths are created. Work with experienced specialists and managers across several functions. Deliver a visible project that will be used for onboarding and day-to-day collaboration.
•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
If the Early Talent is successful, we will be happy to discuss an opportunity to continue with the team in a full-time Project Manager position, subject to performance, mutual fit and business needs.
