The SCOT Inbound Systems (IS) Placement team seeks a Product Manager to help evolve algorithms that determine how to replenish and re-balance inventory across the Amazon network. The group of algorithms influence how we replenish Sub Same Day FCs, RSR FCs, how we move inventory from Storage and Distribution Nodes to Customer Facing FCs. These systems are set to play a pivotal role in new programs such as Quick Commerce, Cross Border Replenishment.



Key job responsibilities
-Build product roadmap(s) to manage inventory at scale for WW
-The leader would work closely with software developers, scientists, analytics and business teams to get the products developed.
-Envision, define, build and launch data product and features that enable our data systems and stakeholders to uncover new insights and fine-tune operations to meet business goals
-Coordinate feature development across multiple engineering teams to ensure our feature requirements are delivered
-Drive stakeholder efficiencies through feature enhancements and automation that streamline the data analysis and decision-making process
-Learn the needs, pain points and behavior of Retail business & Supply Chain users and develop strong intuition about solutions that will work for them
-Frame and lead discussions with key business and technical stakeholders to assess opportunities, make data-driven recommendations, and build consensus ahead of important investment decisions


About the team
The Supply Chain Optimization Technologies (SCOT) organization owns Amazon’s global inventory management systems: we decide what, when, where, and how much we should buy to meet Amazon’s business goals and to make our customers happy. We do this for millions of items, for hundreds of product lines worth billions of dollars of inventory world-wide. Our systems are built entirely in-house, and automate large-scale business, inventory and supply chain planning and optimization systems. We foster new game-changing ideas, creating ever more intelligent and self-learning systems to maximize the efficiency of Amazon's inventory investment and placement decisions.