Senior Technical Product Manager, US Prime Video
Listed on 2026-06-06
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IT/Tech
Data Analyst, AI Engineer, Data Science Manager
Senior Technical Product Manager, US Prime Video
Job : | Services LLC
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices.
Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios‑produced series and movies; licensed fan favorites; and programming from Prime Video add‑on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+.
All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.
Are you interested in shaping the future of entertainment? Do you want to invent, disrupt and redefine what entertainment means for fans, creators, and communities all around the globe?
As part of the Prime Video team, you’ll get to work on projects that are fast‑paced, challenging, and varied. Also, you’ll get to experiment with new possibilities, take risks, and collaborate with remarkable people.
We’ll look for you to bring your diverse perspectives, ideas, and skill‑sets to make Prime Video even better for our customers. With global opportunities for talented creatives, technologists, marketing professionals and so much more, you can decide where a career with Prime Video takes you!
The US Planning & Audience Insights team is where strategy meets data meets AI: we build the tools and intelligence that power programming decisions, audience growth, and marketing optimization for our Prime Video streaming service. If you want to work at the intersection of GenAI, customer science, and entertainment strategy and see your work directly influence what millions of people watch, this is the role.
We’re looking for a Senior Technical Product Manager to lead the Product‑Tech function within Prime Video’s US Planning & Audience Insights team. This team defines Prime Video’s audience objectives and delivers the customer intelligence, analytics, and AI‑powered solutions that enable the organization to achieve them.
Key Responsibilities- Own the product strategy and roadmap for a portfolio of internal tools spanning release planning and scenario modeling, experimentation automation, GenAI‑powered content analysis, and audience segmentation — from vision through delivery.
- Act as the primary product owner across a team of data engineers, data scientists, researchers, and BI engineers — setting project priorities, writing requirements, defining success metrics, and driving execution across concurrent work streams.
- Partner with an SDE team to define requirements, prioritize the backlog, and ship features for the team’s flagship planning tool — acting as the primary product voice for a platform used daily by content programmers and leadership.
- Drive the team’s AI strategy:
GenAI‑powered content gap identification, natural language data interfaces, automated experiment analysis, and AI‑generated dashboard summaries. - Own audience infrastructure initiatives including demographic prediction models, audience segmentation frameworks, and centralized reporting that powers PV’s growth strategy.
- Lead cross‑functional programs spanning analytics, research, data science, marketing, and programming stakeholders — translating ambiguous business needs into clear product requirements and data engineering deliverables.
- Represent the team’s work to senior leadership through QBRs, CPRs, and roadmap reviews. Define success metrics and communicate trade‑offs clearly.
- Bachelor’s degree in a quantitative/technical field such as computer science, engineering, statistics
- 1+ years of team management experience
- 5+ years of technical product management, program management or engineering experience
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Track record of shipping AI/ML‑powered products or features
- Experience with customer…
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