Product analyst in AI cloud

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. 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.
• Будет плюсом: Familiarity with LLM inference economics: tokens, throughput and latency, batching, GPU costs

• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams
• Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI