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
Nebius is hiring a Senior Director of GSI and Regional SI Partnerships to build and scale our global systems integrator program from the ground up. This is an infrastructure-first alliances role: we are looking for a leader who deeply understands AI cloud, inference, and high-performance computing (HPC) infrastructure, and who has a proven track record of turning that infrastructure into services-led, repeatable solutions that partners sell and deliver to enterprise clients worldwide.
The strategy is deliberately two-fold. On one side are the marquee, long-tail global systems integrators — the strategic, higher-effort relationships that compound into durable, large-scale revenue over time. On the other are the fast-moving, AI-native systems integrators and emerging AI consultancies — the short-tail, quicker-to-win partners who can source and land opportunities far faster than the traditional GSIs. We need a leader who can build and balance both motions, and who already has the relationships and instincts to activate the AI-native ecosystem quickly.
You will own the strategy, architecture, and execution of Nebius's GSI motion globally, while building the regional structure to activate partners across AMER, EMEA, and APJ. You will combine partner strategy, solution and offering development, and hands-on execution, working shoulder-to-shoulder with sales, solution engineering, product, and marketing. This is a builder's role for someone who has operated in fast-moving, high-growth environments and can create frameworks, offerings, and playbooks where none exist. Travel is expected for executive meetings, QBRs, and key industry or partner events.
What You'll Do
What You Bring
Why Nebius
Compensation
We offer competitive salaries, ranging from 270k - 337k OTE based on your experience.
Key employee benefits in the US:
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Benefits & Perks:
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.
Published on: 7/19/2026

Nebius
The Nebius AI Cloud brings powerful full-stack infrastructure for AI developers and practitioners across startups, enterprises and science institutes to build and deploy generative AI applications and rapidly deliver scientific breakthroughs by training and running ML models within a secure, high-performance, and cost-optimized cloud environment.
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