Drimva

Amazon

Principal Product Manager - Tech, News, Prime Video Global App Experience

$180K–$243K

Culver City, CA +2 · Principal · Full-time · Posted Oct 29, 2026

Location
Culver City, CA
Seattle, WA
SEATTLE, WA
Experience
4+ years of end-to-end product delivery and 8+ years of technical product or program management; preferred: 5+ years of consumer software experience.
Education
Bachelor’s degree; preferred: Master’s degree in a technical field or Master of Business Administration.

About the job

Leads Prime Video’s News product strategy and launches, using customer insights and AI-powered features to grow awareness, engagement, and daily news viewing.

What you'll do

  • Set the multi-year vision, roadmap, goals, and metrics for News on Prime Video; drive programs and launches to deliver growth.
  • Develop AI-powered news experiences with applied scientists and engineers, evaluating technology choices and trade-offs.
  • Use research, experimentation, data, and competitive analysis to shape product requirements and design, and align stakeholders across launch teams.

What they ask for

  • 4+ years of end-to-end product delivery experience and 8+ years of technical product or program management experience.
  • Bachelor’s degree.
  • Experience with product feature delivery and trade-offs; roadmap strategy and definition; technical product management; and leading engineering discussions on technology decisions and strategy.
  • Experience influencing senior-level stakeholders and working with AI/ML technologies.

Nice to have

  • Master’s degree in a technical field or Master of Business Administration; experience with ML tools and methods or modern GenAI/LLM tools.
  • 5+ years planning, designing, developing, and delivering consumer software; experience in journalism or editorial media.

Pay

179,900.00 - 243,400.00 USD annually (base salary); 179,900.00 - 243,400.00 USD annually (base salary)

Tools

AI/ML, machine learning (ML) tools and methods, GenAI, LLM tools

AI focus

Invent AI-powered news experiences; partner with scientists and engineers on model and technology choices, trade-offs, and responsible AI use.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 6, 2026 (UTC)