Senior Technical Product Manager, US Prime Video

Key job 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 workstreams.
• 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.

About the team

The US Planning & Audience Insights team sits within US Prime Video. We operate across six functions: Audience Planning, Product-Tech, Analytics, Data Science, Data Engineering, and Research. Our stakeholders span content programming, marketing, and senior leadership across the PV organization.

Basic Qualifications

• 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

Preferred Qualifications

• Experience with customer segmentation, profiling, and targeting
• Experience in the entertainment industry
• Experience working with data engineers and business intelligence engineers collaboratively
• Working knowledge of SQL, data pipelines, and cloud-based data infrastructure
• Familiarity with GenAI applications (LLMs, agentic architectures, RAG) in enterprise product contexts — and an ability to assess when these capabilities enhance versus complicate product design