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About the Role

Product Management is responsible for driving the overall user experience, feature strategies and concepts, and engagement paradigms for Disney Entertainment & ESPN's global portfolio of consumer-facing streaming and digital products. The Commerce Product team owns the subscriber journey across our streaming portfolio, including acquisition, monetization, retention, and lifecycle experiences. The Commerce Personalization team owns our ML-powered decisioning engine that personalizes offers, promotions, and recommendations across multiple subscriber touchpoints. This role will drive strategy and execution of our unified commerce personalization engine across the full user journey, partnering closely with ML Engineering, Data Science, product, and Analytics teams.

Responsibilities

Own personalization platform strategy and roadmap, driving three parallel workstreams (model improvements, data expansion, surface experiments) to maximize subscriber lifetime value across key Commerce touchpoints.
Define and socialize North Star metrics, establishing success criteria for all personalization experiments and ensuring consistent measurement across surfaces.
Partner with ML/Data Science to build better models by translating business problems into model requirements and success criteria.
Build new personalization capabilities, including specifying and launching propensity models, cross-surface offer orchestration, and unauthenticated personalization.
Design and ship high-impact experiments by running A/B tests across surfaces with clear LTV success criteria and guardrails (retention, revenue, and engagement).
Ensure model quality and rigor by establishing randomization infrastructure, LTV-native model training, unbiased training data pipelines, and holdout groups.
Coordinate cross-functionally without direct authority, aligning with product, data science, analytics, and lifecycle/marketing teams on shared goals and experimentation frameworks.
Prioritize investment based on ROI, determining trade-offs between model improvements versus surface expansion using LTV impact data.
Communicate strategy and results to leadership through regular updates and business reviews on portfolio impact, and by writing strategy memos with hypothesis-driven framing and validation gates.

Requirements

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, and 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.
Experience with ML serving infrastructure and personalization platforms (Metaflow, Kubeflow, or similar).
Built recommendation or ranking systems at scale for complex, multi-SKU product surfaces.
Worked with prediction models to evaluate experiments or prioritize product investments.
Experience coordinating personalization across multiple surfaces to ensure consistent messaging and avoid signal cannibalization.
Background at companies with mature personalization and experimentation cultures (streaming, subscription, e-commerce, or similar).
SQL proficiency: can write queries to pull experiment data, validate model outputs, and debug attribution issues.
Understanding of ML model constraints: online vs. offline models, training data bias, model architecture trade-offs, feature engineering.
Experience leading cross-functional initiatives in matrixed organizations that required influencing without direct authority.
Track record of defining and shipping challenger models or model improvements that drove measurable business impact.

Skills

Product Management
Machine Learning
Data Science
A/B Testing
Experimentation Frameworks
Subscription Businesses
Pricing
Promotions
Lifecycle Optimization
Growth
Monetization
Data-Driven Decision-Making
Cross-Functional Leadership
Stakeholder Management
Communication
ML Serving Infrastructure
Personalization Platforms
Recommendation Systems
Ranking Systems
Prediction Models
SQL
ML Model Constraints

Location

San Francisco, CA, USA
USA - CA - 1200 Grand Central Ave
USA - CA - 2450 Broadway
USA - NY - 7 Hudson Square

Work Type

Full time

Experience Level

Senior

Education Level

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.

Salary/Compensations

San Francisco, CA: $170,500 - $228,600 per year
Santa Monica and Glendale, CA: $155,700 - $208,700 per year
New York, NY: $163,100 - $218,700 per year

Benefits

A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

About the Company

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.
Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.
Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.