The Alexa for Shopping team is seeking a customer-obsessed senior economist to own and drive analytics strategy for Gen. AI-powered Shopping experiences. This role will partner closely with senior leaders to deliver high-quality insights that inform executive decision-making for the AI shopping assistant, Rufus. The successful candidate will demonstrate strong attention to detail, excellent written and verbal communication, and the ability to influence across organizations. In this role, you will mentor and set the bar for data science, economics, and engineering partners by establishing best practices for understanding customer behavior in AI-driven shopping experiences. You will invent and scale metrics that measure customer adoption and habituation, and build agentic, automated analytical workflows that enable fast, repeatable deep dives. This position will play a critical role in shaping product roadmap and investment decisions in a rapidly evolving Gen. AI space. The ideal candidate will operate effectively in ambiguous environments, exercise strong business judgment on high-impact, one-way door decisions, and continuously raise the bar for analytical rigor and operational excellence. You will work cross-functionally with product, engineering, and economics partners to deliver results for customers. Key job responsibilities- Own the development of customer and shopping-mission cohorts to understand behavior with and without Rufus engagement across the end-to-end shopping journey.- Identify which Rufus query types and interaction patterns drive the most customer value for specific customer cohorts and shopping missions.- Build predictive models to estimate customer re-engagement and long-term adoption of Rufus based on interaction quality and downstream shopping outcomes.- Invent, operationalize, and publish scalable metrics and dashboards that surface actionable insights, enabling data-driven product growth and executive decision-making.- Partner closely with Product, Engineering, and Economics teams to translate analytical insights into roadmap priorities and customer-focused improvements. About the team. The Alexa for Shopping economics team focuses on understanding how Gen. AI-powered shopping tools are transforming customer behavior across the shopping lifecycle - from inspiration and problem-solving, to product research, selection, purchase, and post-purchase support. We build the foundational measurement frameworks that enable teams to evaluate performance, identify what Rufus experiences resonate most with customers, and uncover opportunities for improvement. Our work directly influences customer-centric product roadmap decisions and helps scale impactful, high-quality AI shopping experiences. Basic Qualifications- PhD in economics or equivalent- Experience in analytics and applied economics- Experience working with software developers and product managers. Preferred Qualifications- Experience in implementing modern machine-learning methods (e.g., boosted regression trees, random forests, neural networks)