AWS is one of Amazon’s largest and fastest growing businesses, serving millions of customers in more than 190 countries. We use cloud computing to reshape the way global enterprises use information technology. We are looking for entrepreneurial, analytical, creative, flexible leaders to help us redefine the information technology industry. If you want to join a fast-paced, innovative team that is making history, this is the place for you. AWS Central Economics & Science (ACES) drives best practices for objectively applying economics and science in decision making across AWS. The team collaborates with AWS science and business teams to identify, frame, and analyze complex and ambiguous problems of the highest priority. Through data-driven insights and modeling, ACES supports strategic decision-making across the AWS global organization, including sales operations and business performance optimization. We are hiring a Technical Product Manager (PMT) to lead a cross-functional team that uses economics and ML to help AWS to understand and optimize its sales channels. This role will be a key member of the ACES team, responsible for driving execution, aligning stakeholders, and shaping the product and technical roadmap across a broad set of partner teams. Specifically, we’re looking for someone who can help define and operationalize a growth- and business-focused vision for the team. The ideal candidate will think big and excel at translating scientific insights and ML capabilities into scalable products and actionable workflows that drive measurable business impact. This person will own end-to-end delivery, from concept through launch and iteration, ensuring that insights are effectively integrated into seller and partner tools, processes, and decision-making. This role requires strong technical fluency to partner closely with economists, scientists, and engineers, as well as the ability to navigate complex organizational dynamics and drive alignment across teams. Experience managing ML- or data-driven products, working with embedded or central science teams, and delivering solutions that influence real-world business outcomes is highly valued. This position offers significant scope and visibility, with opportunities to expand ownership and influence over time as the team’s products scale across AWS.
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Job Type
Full-time
Career Level
Mid Level