
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
The Role
The Sales Compensation & Incentive Programs Manager is responsible for designing, governing, and operationalizing compensation programs for Sales, Business Development, and Partnerships teams.
This role ensures that incentive structures align pay with performance, support revenue growth, and scale with company strategy. The role collaborates closely with Sales leadership, Finance, C&B, Analytics, and Operations to ensure accurate KPI measurement, bonus calculation, and compensation governance.
The role also oversees revenue tracking methodologies, KPI dashboards, and debt collection governance processes to ensure transparency, compliance, and operational efficiency.
Key Responsibilities
Sales Compensation Governance
Bonus Calculation & Revenue Attribution
KPI Framework & Target Setting
Incentive Plan Communication
Sales Policy Governance
Revenue Operations Process Improvements
Debt Collection Governance
Sales Enablement & Documentation
Key Qualifications & Experience
Preferred
What we offer
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

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.