Amazon operates the world's most complex supply chain — fulfilling global demand for hundreds of millions of products at lighting fast delivery speeds. A core part of making this possible is predicting the future: How much will customers order? How long will new inventory take to arrive? What is the long-term customer impact of changes in availability and delivery speed? And much more. We address these questions through state-of-the-art machine learning systems that generate hundreds of millions of fine-grained predictions. These forecasts are automatically consumed by systems that order, store, and route inventory — ensuring customers find the products they want, when they need them, and delivered faster than ever. Our work spans the full lifecycle: from foundational research and large-scale experimentation to production deployment and downstream impact measurement. We need your skills to help us push the boundaries of what's possible. Amazon's SCOT Forecasting team is looking for a Sr. Product Manager-Tech with a proven ability to influence across multiple organizations and drive innovation at scale. In this role, you will define and drive the long-term vision for both established and greenfield forecasting products within an ever-evolving supply chain landscape. You will partner closely with scientists and engineers to build state-of-the-art deep learning-based systems that generate the predictions and estimates required to optimize Amazon's supply chain at scale. This role offers a unique opportunity to learn how we bring advanced science — including Deep Learning, Foundation Models, and Large Language Models — out of the lab and into production systems that serve Amazon's worldwide supply chain. And we're focused on doing it faster than ever
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Job Type
Full-time
Career Level
Senior