Posted Mar 16, 2026
Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 200 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on. Our team owns a global data platform that powers analytics and data science across Prime Video. Built on AWS cloud technology and processing large volumes of relational data, we focus on delivering secure, low-latency, and highly usable data products. We abstract complexity away from the analytics community, enabling them to innovate faster on behalf of our customers. As a Sr TPM on this team, you will lead programs that ensure Prime Video's analytics ecosystem is supported by reliable platforms, modern tooling, and scalable technology. You will work closely with stakeholders to identify requirements and dependencies, build consensus, and drive alignment with senior leadership on analytics solutions. Success in this role depends on enabling effective collaboration across teams and disciplines. You will be passionate about solving complex problems and sees the potential of analytics — from BI to Data Science — to drive meaningful business outcomes. You will bring energy and ambition to advancing Prime Video's analytics capabilities. A background in data engineering, or a deep understanding of data platforms, pipelines, and infrastructure, is essential for this role. Key job responsibilities
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