Join Amazon's Shopping Economics team to revolutionize how millions of customers discover their perfect products. This role sits at the intersection of Gen AI and the economics of product search, consumer choice, and marketplace design, where you'll be the thought leader on the economics of product discovery - how Amazon helps customers transform their initial shopping needs into confident purchase decisions. You'll leverage the latest and greatest econometric techniques to optimize how Amazon connects customers with our vast selection, whether they're researching the ideal blender for their kitchen, solving a home maintenance challenge, or discovering the perfect gift. As a senior leader within the team, you'll help guide a talented group of economists and data scientists while influencing billions of dollars in investment decisions and advancing the frontier of applied marketplace economics. A key focus area includes working closely with teams building Amazon's next-generation AI shopping assistant, helping shape the future of conversational commerce.

Key job responsibilities
The role requires deep expertise in structural estimation, experimental design, and causal inference to tackle fundamental economic questions about horizontal differentiation and match quality in online retail. You'll develop novel frameworks to measure discovery efficiency and quantify the value of product exploration. You will work closely with senior leadership to guide investment decisions across Amazon's portfolio of features that help customers with product discovery. Key responsibilities include: building econometric models to estimate match quality, leveraging double ML methods to measure the ROI of large investments the company is making in product discovery, designing experiments to measure the causal impact of discovery features (including AI-powered shopping assistants), developing metrics to track horizontal differentiation, and collaborating with engineering teams to embed economic insights into Amazon's product discovery systems.

A day in the life
Your morning starts collaborating with Amazon's distinguished economists, including Nobel laureates, on developing novel methodologies to measure match quality in product discovery. By mid-morning, you're leading product leaders through a research review, providing guidance on experimental design and ensuring analytical rigor in measuring the causal impact of new discovery features.

Over lunch, you're presenting to VP-level leadership on ROI measurement frameworks for major product discovery initiatives, including the economics of AI-assisted shopping, ensuring that Amazon's multi-billion dollar investments in this space deliver maximum customer value.

At the end of the day you find yourself diving deep into data with your team, uncovering patterns in customer exploration behavior that suggest opportunities for improving product discovery.