Job Description
Serve as a trusted quantitative advisor to the product management, marketing, sales, and engineering teams.
Design, build, and analyze monetization strategies for new and existing products, with a focus on advanced pricing models like API pricing, tokenization, and consumption.
Apply machine learning, statistical analysis, econometric modeling, and optimization science to understand customer behavior, predict demand, and measure price elasticity.
Develop predictive models to forecast customer lifetime value (LTV) and identify key drivers of churn, turning these insights into actionable strategies.
Develop and run simulations to forecast the revenue, adoption, and usage impact of new commercial strategies.
Partner with the marketing team on marketing science projects, such as customer segmentation and marketing mix modeling to optimize spend and targeting.
Translate complex analytical findings into clear, actionable insights and strategic recommendations for senior leadership.
Stay at the forefront of innovation in SaaS monetization, data science, and machine learning, and champion new methodologies within the team.