
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.
We’re looking for a scrappy, resourceful Developer Advocate to help grow Token Factory, Nebius’ high-performance inference platform built for teams running real production AI workloads at scale. This is a hands-on role for someone who loves working directly with builders and helping them ship faster, cheaper, and more reliable AI products. You’ll sit right next to product and engineering, shape how developers discover and trust the platform, and spend most of your time building demos, running workshops, writing practical guides, and talking with developers who are deeply opinionated about inference performance. If you like moving fast, wearing multiple hats, and turning deep technical work into something developers actually want to use, this role is for you.
Your responsibilities will include:
We expect you to have:
It will be an added bonus if you have:
Key employee benefits in the US:
Compensation
We offer competitive salaries, ranging from $165k - $250k OTE (On-Target-Earnings) plus equity based on your experience.
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.