Senior Product Manager II- Commerce and Personalization
Glendale, CA, USAAll locationsGlendale, CA, USASan Francisco, CA, USANew York, NY, USASanta Monica, CA, USA On-site
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About the role
Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. The Commerce Product team is responsible for the subscriber journey across our streaming portfolio - including Disney+, Hulu, and ESPN. We own acquisition, monetization, retention, and lifecycle experiences that serve millions of subscribers globally. This role will drive strategy and execution of our unified commerce personalization engine across the full user journey.
What you'll bring
- 7+ years of product management experience shipping consumer products at scale (millions of users)
- Proven track record partnering with Data Science/ML Engineering to build and ship production ML models (recommender systems, propensity models, ranking algorithms, personalization platforms)
- Deep understanding of A/B testing, experimentation frameworks, holdout design, statistical significance, and measuring incrementality
- Experience with subscription businesses, pricing, promotions, lifecycle optimization, growth, or monetization
- Data-driven decision-making: comfortable defining success metrics, interpreting experiment results, making go/no-go decisions based on data
- Cross-functional leadership: ability to influence ML Engineering, Data Science, and surface PMs without direct authority
- skilled at building consensus across competing priorities
- Strong stakeholder management
- Clear communicator: translates complex ML concepts into business language and vice versa
- writes crisp strategy documents and presents effectively to leadership
- Experience working in fast-paced, high-growth environments with ambiguous problem spaces
- Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, Business, Economics, Statistics, or comparable field of study, and/or equivalent work experience