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 Employer Branding Specialist is instrumental in bringing our employer brand to life across multiple touchpoints. As part of a newly formed team within our fast-growing, international company, this role offers a unique opportunity to help lay the groundwork for global employer branding efforts.
In a dynamic environment where many initiatives are moving at once, the Specialist ensures smooth execution of campaigns, events, and content delivery. This includes managing logistics, publishing content across channels, and keeping stakeholders aligned, all while maintaining consistency in tone and timing.
This role will support content creation and channel development, helping to build and scale Nebius’ employer brand presence across social and digital platforms.
By turning strategy into action, the Specialist directly contributes to the scale, visibility, and impact of our employer brand as we continue to grow.
Your responsibilities will include:
We expect you to have:
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.