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Verified from career page · Posted 5mo ago

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Senior Technical Program Manager (Cloud Platform)

Nebius · Technology

Location not stated

Senior

ProductBash / ShellPythonSQL

Last seen 2d ago

Posted
5mo ago

Posted on 17 April 2026

Workplace
Remote

Work model: Remote

Salary
Not disclosed

Salary range not shared by the company

Visa sponsorship
Not specified

Visa sponsorship details unknown

This role has closed. It's kept as a record — see Nebius's open roles or the similar live roles below.

See Nebius's open roles

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 Senior Technical Program Manager to join the Cloud Platform execution office team. The team mainly focuses on scaling the Nebius Cloud Platform (both in number of regions and their size) and supporting new generations of hardware. But,when needed also projects from other domains that require wide cross-team coordination and deep knowledge of the Platform from different perspectives.

In this role, you will manage large-scale projects influencing the Nebius Cloud Platform as a whole, with up to hundreds of engineers and other stakeholders (both from technical and business departments) involved. You will have to understand and reconcile the needs of the Cloud Platform team, Data center & Hardware team, Sales and other customer-facing teams, etc.

Furthermore, you will:

Initiate and coordinate cross-team projects, set and communicate goals and timelines

initiate and facilitate decision-making and changes, both procedural and technical

Meet challenging deadlines despite conflicting priorities

Introduce new processes and make them reproducible

Align needs and interests of the stakeholders up to C-level.

Requirements:

10+ years as a Technical Project / Program Manager of cross-team projects or Staff Architect working with large teams (20+). Preferably a few years as SWE.

Strong technical knowledge (SW architecture, infrastructure technologies)

Analytical mindset and skills; SQL/Python/shell scripting

Excellent communicator, both spoken and written

Knowledge of recent advances in hardware (GPUs, CPUs, Networking etc) is a plus

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.

About Nebius

Nebius builds AI cloud infrastructure and GPU compute for machine learning. A company with engineering across Europe and the US.

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