Nebius · Amsterdam
Skills: Python, SQL
<div class="content-intro"><p><strong>About Nebius:</strong></p> <p>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.</p> <p>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.</p> <p>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.</p></div><h4>The role:</h4> <p>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.</p> <h4>Your responsibilities will include:</h4> <p>- Define core product and business metrics and build a single source of truth that Product, Finance, and Sales can rely on.<br>- Build a comprehensive view of self-service customers, including usage patterns, customer health, satisfaction, retention risks, unmet needs, and growth opportunities.<br>- Translate customer demand and commercial plans into capacity forecasts and support capacity allocation decisions.<br>- Measure effective capacity utilization and identify opportunities to improve the commercial value of available capacity.<br>- Develop and evaluate pricing and packaging models, including guaranteed capacity, on-demand pricing, commitments, clawback mechanisms, and provisioned throughput units.<br>- Provide data-driven recommendations for the self-service and managed offerings, including customer segmentation, pricing, and capacity.<b…
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