Lead, Personalization & ML-Driven Growth

The Walt Disney Company (France); San Francisco (CA); On-site; USD 206,000 - 277,000; Full time

Job summary

The Walt Disney Company in San Francisco is seeking a senior Product Manager to lead the Commerce Personalization engine across Disney+'s streaming experiences. You will partner with ML Engineering, Data Science, analytics, and lifecycle teams to drive a three-track roadmap: model improvements, data expansion, and surface experiments.

You will own personalization platform strategy, socialize North Star metrics, and design high-impact experiments to optimize subscriber lifetime value across

Qualifications

• 10+ years of product management experience shipping consumer products at scale.
• 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

Responsibilities

• Own personalization platform strategy and roadmap: Drive three parallel workstreams (model improvements, data expansion, surface experiments) to maximize subscriber lifetime value across key Commerce touchpoints
• Define and socialize North Star metrics: Establish success criteria for all personalization experiments; ensure consistent measurement across surfaces
• Partner with ML/Data Science to build better models: Translate business problems into model requirements and success criteria
• Build new personalization capabilities: Spec and launch propensity models, cross-surface offer orchestration (decide where to show offers, not just what), and unauthenticated personalization
• Design and ship high-impact experiments: Run A/B tests across surfaces with clear LTV success criteria and guardrails (retention, revenue, and engagement)
• Ensure model quality and rigor: Establish randomization infrastructure, LTV-native model training, unbiased training data pipelines, and holdout groups
• Coordinate cross-functionally without direct authority: Align with product, data science, analytics, and lifecycle/marketing teams on shared goals and experimentation frameworks
• Prioritize investment based on ROI: Determine trade-offs between model improvements vs. surface expansion using LTV impact data
• Communicate strategy and results to leadership: Present regular updates and business reviews on portfolio impact; write strategy memos with hypothesis-driven framing and validation gates

Skills

Product management

ML collaboration

A/B testing

Cross-functional leadership

SQL

Stakeholder management

Communication

Education

Bachelor’s degree in CS/Engineering/Business

Tools

ML serving infra

Job description

The Walt Disney Company in San Francisco is seeking a senior Product Manager to lead the Commerce Personalization engine across Disney+'s streaming experiences. You will partner with ML Engineering, Data Science, analytics, and lifecycle teams to drive a three-track roadmap: model improvements, data expansion, and surface experiments.

You will own personalization platform strategy, socialize North Star metrics, and design high-impact experiments to optimize subscriber lifetime value across