Principal Product Manager - Tech, Personalization and Discovery Systems, Fire TV Experience
Amazon.com
Fire TV is transforming how millions of customers discover and engage with entertainment content every day. We're bringing TV into the AI era—revolutionizing discovery to help customers find 'what's next' and making TV the intelligent heart of the home.
We are seeking a Principal Product Manager - Tech to lead intelligent discovery and personalization for Fire TV. In this role, you will define and execute the vision for AI-powered discovery systems and personalization primitives that help customers find content they love. You will drive the development of recommendation systems, intelligent discovery features, and the foundational signals and frameworks that power experiences across Fire TV.
This role requires deep expertise in building discovery systems at scale, proficiency with AI/ML technologies, and a proven track record of delivering customer-obsessed experiences in consumer technology products. You will partner with engineering, data science, design, Prime Video, Alexa, and advertising teams to create the most intelligent content discovery experience in the industry.
Key job responsibilities
- Define and own the long-term product vision and strategy for hyper-personalized recommendations across Fire TV's global footprint.
- Drive the development of personalization primitives, signals, and frameworks that power experiences across search, browse, recommendations, and AI-powered interfaces; partnering with data science, product management, and engineering teams.
- Build and launch customer-facing discovery experiences including content rows, recommendation surfaces, and AI-driven features that directly impact how customers find and engage with content.
- Translate complex strategies into clear product requirements, user stories, and technical specifications.
- Manage prioritization and trade-offs among customer experience, technical complexity, performance, and business impact.
- Own key metrics including customer engagement, content discovery success rates, conversion, and satisfaction scores.
- Stay at the forefront of AI/ML advancements in discovery, recommendation systems, and content intelligence.
We are seeking a Principal Product Manager - Tech to lead intelligent discovery and personalization for Fire TV. In this role, you will define and execute the vision for AI-powered discovery systems and personalization primitives that help customers find content they love. You will drive the development of recommendation systems, intelligent discovery features, and the foundational signals and frameworks that power experiences across Fire TV.
This role requires deep expertise in building discovery systems at scale, proficiency with AI/ML technologies, and a proven track record of delivering customer-obsessed experiences in consumer technology products. You will partner with engineering, data science, design, Prime Video, Alexa, and advertising teams to create the most intelligent content discovery experience in the industry.
Key job responsibilities
- Define and own the long-term product vision and strategy for hyper-personalized recommendations across Fire TV's global footprint.
- Drive the development of personalization primitives, signals, and frameworks that power experiences across search, browse, recommendations, and AI-powered interfaces; partnering with data science, product management, and engineering teams.
- Build and launch customer-facing discovery experiences including content rows, recommendation surfaces, and AI-driven features that directly impact how customers find and engage with content.
- Translate complex strategies into clear product requirements, user stories, and technical specifications.
- Manage prioritization and trade-offs among customer experience, technical complexity, performance, and business impact.
- Own key metrics including customer engagement, content discovery success rates, conversion, and satisfaction scores.
- Stay at the forefront of AI/ML advancements in discovery, recommendation systems, and content intelligence.
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