Product Growth Analytics Lead - Token Factory

Added
3 hours ago
Type
Full time
Salary
Salary not provided

Related skills

data analytics cloud saas product analytics ai

πŸ“‹ Description

  • Develop a comprehensive understanding of self-service customers by analyzing usage patterns, customer health, satisfaction, retention risks, unmet needs, and expansion opportunities.
  • Translate customer demand, commercial objectives, and market trends into accurate capacity forecasts to support infrastructure planning and resource allocation.
  • Monitor and optimize capacity utilization, identifying opportunities to maximize commercial value and operational efficiency.
  • Design, evaluate, and refine pricing, packaging, and monetization strategies, including on-demand offerings, guaranteed capacity, commitments, provisioned throughput, and related commercial models.
  • Deliver actionable insights and recommendations on customer segmentation, product priorities, pricing strategies, and commercial performance.
  • Collaborate closely with Product, Engineering, Applied AI, Finance, Sales, and Operations teams to transform analytical findings into product enhancements and business improvements.

🎯 Requirements

  • Strong commercial and product acumen balancing value, growth, profitability, and monetization.
  • Proven experience analyzing large-scale datasets using modern analytics or distributed processing tools.
  • Advanced financial modeling and quantitative analysis translating data into business recommendations.
  • Experience developing pricing, packaging, monetization, or commercial strategies for technical SaaS, cloud, or consumption-based products.
  • Strong analytical mindset with problem-solving and decision-making capabilities.
  • Demonstrated ability to collaborate across Product, Engineering, Data, Finance, Sales, and Operations teams.

🎁 Benefits

  • Competitive compensation package.
  • Flexible remote options within Europe with modern offices.
  • Strong career development and continuous learning opportunities.
  • High level of ownership and autonomy in shaping product and commercial strategy.
  • Collaborative, innovative, and engineering-driven work environment.
  • Opportunity to contribute to AI and cloud infrastructure products with global reach.
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