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.
New data center development:
We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.
The role- Lead large cross-team IaaS projects from planning to delivery.
- Break down project scope into phases, milestones, dependencies, and tasks.
- Coordinate execution across multiple technical teams and keep everyone aligned.
- Build and maintain project plans, document decisions, architecture context, and artifacts.
- Run regular project syncs, track progress, identify blockers early, and drive mitigation.
- Own timeline tracking and delivery forecasting; proactively highlight risks and trade-offs.
- Support product managers with execution orchestration across several engineering teams.
- Improve delivery transparency: status reporting, milestone, and clear next steps for stakeholders.
- Solid understanding of public cloud fundamentals and core IaaS principles.
- Good technical awareness of cloud building blocks, including: virtualization (KVM/QEMU), Kubernetes, VPC, storage, API.
- Strong project decomposition and execution management skills in technical environments.
- Ability to run structured cross-functional ceremonies and keep technical teams synchronized.
- Strong communication skills: concise status updates, risk communication, and stakeholder alignment.
- Experience in cloud infrastructure, AI/GPU platforms, or distributed systems projects.
- Experience working with both product and engineering stakeholders in platform teams.
- Familiarity with release planning and dependency/risk management across multiple streams.
- Projects are delivered with clear stage gates, realistic timelines, and predictable execution.
- Cross-team dependencies are visible early and resolved before they become blockers.
- Product and engineering have a shared view of scope, progress, and delivery risks.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- 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
- Solid understanding of public cloud fundamentals and core IaaS principles
- Good technical awareness of cloud building blocks, including virtualization, Kubernetes, VPC, storage, API
- Strong project decomposition and execution management skills in technical environments
- Ability to run structured cross-functional ceremonies and keep technical teams synchronized
- Strong communication skills
What We Do
Cloud platform specifically designed to train AI models
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