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Prime Video & Amazon MGM Studios · 2 weeks ago

Principal Product Manager - Tech, Recommender Systems, Prime Video Personalization & Discovery

Seattle, WA

Full-time

Hybrid

Lead/Staff

$162K/yr - $280K/yr

8+ years exp

Prime Video is a premier entertainment destination, and they are seeking an experienced Principal Product Manager to lead the vision and strategy for personalization and discovery algorithms. This role involves collaborating with data science and engineering teams to enhance customer experiences through machine learning-powered features.

InternetSoftwareWeb Development

H1B Sponsor Likely

Responsibilities

Own the roadmap and strategy for personalization products, including recommendation systems and ML/science-based models

Collaborate with applied scientists and ML engineers to translate business problems into model requirements and convert them into clear algorithmic objectives, metrics, and guardrails

Define, track, and analyze key metrics to measure recommendation quality, customer outcomes, and business impact; analyze user behavior data to identify opportunities to improve personalization

Lead A/B testing strategy and experimentation to validate algorithmic improvements and inform roadmap decisions

Partner with stakeholder teams to understand business needs and translate them into technical specifications and prioritized work

Communicate complex technical and algorithmic concepts clearly to senior leadership and cross-functional partners

Balance trade-offs between model complexity, latency, scalability, and business value to ensure robust, production-ready solutions

Qualification

Machine LearningProduct ManagementData AnalysisRecommendation SystemsTechnical SpecificationsProject ManagementLeadership SkillsCommunication SkillsCollaboration Skills

Required

8+ years of technical product management experience

6+ years of end to end product delivery experience

Bachelor's degree

Experience with feature delivery and tradeoffs of a product

Experience owning/driving roadmap strategy and definition

Experience managing consumer-facing products where ML directly impacts user experience and engagement

Experience leading science and technology discussions and influencing strategy for ML- or science-driven products

Background in an applied science, engineering, or quantitative field, with a solid understanding of the model lifecycle, data readiness, and model evaluation frameworks

Preferred

Experience in content discovery, e-commerce, search, or recommendation systems

Knowledge of modern ML techniques (deep learning, NLP, LLM, Agentic AIs) and their practical trade-offs

Strong leadership skills with ability to influence cross-functional teams

Experience working with senior-level stakeholders

Experience in project management methodologies, business analysis, or process improvement

Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics

Experience as a strong leader who can prioritize well, communicate clearly and effectively influence across cross-functional teams

Experience developing consumer-impacting applications of machine learning or artificial intelligence

Benefits

Equity

Sign-on payments

Full range of medical, financial, and/or other benefits

Company

Prime Video & Amazon MGM Studios

Prime Video delivers an entertainment destination unlike any other—fast, reliable, personal, effortless, and delightful.

Founded in 2006

Seattle, Washington, USA

10001+ employees

http://primevideo.com

H1B Sponsorship

Prime Video & Amazon MGM Studios has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (22803)

2024 (21175)

2023 (19057)

2022 (24088)

2021 (12233)

2020 (14881)