Want to know if this job is worth applying to?
Amsterdam, Noord-Holland, Nederland
Remote only
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.
In Token Factory analytics there is no split into product analysts, ML engineers and data engineers. Each person owns a question end to end: builds the data, runs the analysis, and comes back with a recommendation that changes a decision.
- Define core product and business metrics and build a single source of truth that Product, Finance, and Sales can rely on.
- Build a comprehensive view of self-service customers, including usage patterns, customer health, satisfaction, retention risks, unmet needs, and growth opportunities.
- Translate customer demand and commercial plans into capacity forecasts and support capacity allocation decisions.
- Measure effective capacity utilization and identify opportunities to improve the commercial value of available capacity.
- Develop and evaluate pricing and packaging models, including guaranteed capacity, on-demand pricing, commitments, clawback mechanisms, and provisioned throughput units.
- Provide data-driven recommendations for the self-service and managed offerings, including customer segmentation, pricing, and capacity.
- Partner with Product, Engineering, Applied AI, Finance, and Sales to turn insights into concrete product and operational improvements.
- 5+ years of experience in analytics or data science.
- Strong Python, SQL, and statistics: you understand the code and the methods you use.
- Hands-on experience analysing large-scale customer, product, and usage datasets using statistical / analytical or distributed data-processing tools.
- AI-assisted coding as your default way of working: you guide it, verify it, and own the result.
- The ability to go from a question to a production-ready solution.
- The ability to turn complex data into clear recommendations.
- Strong commercial and product judgment, with the ability to balance customer value, monetization, growth, and profitability.
- Experience with pricing, packaging, monetization, or commercial analytics for technical or consumption-based products.
- Strong cross-functional collaboration skills across Product, Engineering, Data, Finance, Sales, and Operations.
- A hands-on and proactive working style, with the ability to operate effectively in an ambiguous and technically complex environment.
- Familiarity with LLM inference economics: tokens, throughput and latency, batching, GPU costs.
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.
