About this role.
Nebius is seeking a Product Growth Analytics Lead to join its Token Factory team, focusing on driving data-informed growth strategies for its AI cloud platform. The role involves building comprehensive customer insights, developing pricing and packaging models, and translating demand into capacity forecasts. The ideal candidate will partner across Product, Engineering, Finance, and Sales to turn analytics into product improvements. This position requires strong commercial judgment, hands-on data analysis, and financial modeling skills. It offers the opportunity to work on cutting-edge AI infrastructure with a fast-growing Nasdaq-listed company.
Role DNA
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Job Complexity
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4/5Autonomy Level
4/5Communication Load
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Core skills
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Cover letter sample
Dear Hiring Team,
I am excited to apply for the Product Growth Analytics Lead position at Nebius. With a strong background in product analytics and growth strategy, I have successfully driven data-informed decisions for consumption-based products in fast-paced tech environments. My experience includes building customer segmentation models, optimizing pricing and packaging, and collaborating cross-functionally to turn insights into revenue growth.
I am particularly drawn to Nebius's mission to democratize AI infrastructure. In my previous role, I led analytics for a cloud platform where I improved capacity utilization by 20% through predictive modeling and pricing adjustments. I am adept at using SQL and Python to analyze large datasets and have a proven track record of influencing product roadmaps.
I look forward to the opportunity to contribute to Nebius's growth and would love to discuss how my skills align with your needs. Thank you for your consideration.
Sincerely, [Your Name]
Sample interview questions
I would start by defining key metrics like DAU/MAU, feature adoption, retention cohorts, and engagement scores. Then I'd aggregate data from product usage logs, billing systems, and customer feedback into a unified dashboard. Using segment analysis, I'd identify patterns such as high-value segments or churn risks, and set up automated alerts for anomalies. Finally, I'd collaborate with product teams to validate insights and prioritize improvements.
At my previous company, I analyzed usage data and found that 30% of customers were underusing their committed capacity. I proposed a tiered pricing model with a flexible on-demand option, which increased adoption by 15% and reduced churn by 10%. I presented the analysis to stakeholders using clear visualizations and financial projections, leading to a successful rollout.
I use value-based pricing principles: first, quantify the customer's willingness to pay through surveys and conjoint analysis. Then, model cost structures to ensure margins. I test pricing with A/B experiments and monitor key business metrics like LTV/CAC. I also consider competitive positioning and long-term growth objectives, not just short-term profit.
We faced a capacity allocation challenge: demand spiked unpredictably. I led a project with engineering, finance, and sales to create a forecasting model using time-series analysis and demand signals from sales pipelines. We built a dashboard for real-time visibility and adjusted allocation rules. This reduced capacity waste by 25% and improved customer satisfaction due to fewer shortages.
I would set up an A/B test comparing the new model against the current one, randomizing customers or time periods. Key metrics would include conversion rate, average revenue per user, churn rate, and capacity utilization. I'd also track qualitative feedback. After statistical significance, I'd analyze segment-level impacts to refine the model before full rollout.
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.
The role
Nebius Token Factory is looking for a Product Growth Analytics Lead.
You can work from our offices in Amsterdam or London, or remotely from any EU country.
Your responsibilities will include:
- 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, capacity, and product priorities.
- Partner with Product, Engineering, Applied AI, Finance, and Sales to turn insights into concrete product and operational improvements.
We expect you to have:
- Strong commercial and product judgment, with the ability to balance customer value, monetization, growth, and profitability.
- Hands-on experience analysing large-scale customer, product, and usage datasets using analytical or distributed data-processing tools.
- Strong financial modelling skills and the ability to turn complex data into clear recommendations.
- 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.
Benefits & Perks:
- 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
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.
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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