Principal PMT - International, Prime Video Personalization & Discovery

Technology, Data & Digital · Product & Design · Product Management · Machine Learning · Data Science

In short

Prime Video seeks an experienced Principal Product Manager Tech to lead the vision, strategy, and roadmap for personalized content discovery in international markets. You will operate at the intersection of machine learning, customer experience, and business strategy, driving high-impact projects and shipping ML-powered features at scale.

Responsibilities

Own the roadmap and strategy for personalization products for INTL territories, including recommendation systems and ML/science-based models.
Collaborate with business leaders, other PMs and Applied Scientists 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.

Requirements

10+ years of technical product management or 7+ years of PM and 3+ years of Eng experience.
6+ years of end to end product delivery experience
Bachelor's degree, Masters Preferred
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.
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

Desired Qualifications

Ideal candidate would have demonstrably thrived in a high growth environment and delivered broadly adopted technology products or services
Strong leader who can prioritize well, communicate clearly and compellingly with stakeholders, partners and leaders, and understand how to drive a high level of focus and excellence
Keen business sense together with a deep understanding of technology
Experience defining products, mapping requirements to engineering functional specifications, leading large cross functional and cross organizational efforts, and delivering at high scale
Experience as a strong leader who can prioritize well, communicate clearly and effectively influence across cross-functional teams
Experience working with and influencing senior level stakeholders
Experience building machine learning models or developing algorithms for business application

Skills

machine learningproduct managementcustomer experiencedata scienceML engineeringrecommendation systemsdeep learningNLPLLMAgentic AIs

#Product Management#Personalization#Discovery#Prime Video#International

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