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Disney3 days ago

Senior Product Manager II- Commerce and Personalization

$155,700–$228,700 year

On-site · New York City, New York, United States or San Francisco, California, United States

Type
Full Time
Level
Senior Level
Education
Bachelors Degree
Company size
Enterprise

Job Summary

Senior Product Manager II for the Commerce and Personalization team responsible for strategy and execution of a unified personalization engine across the subscriber journey. Own three parallel workstreams (model improvements, data expansion, surface experiments) to maximize subscriber lifetime value across key Commerce touchpoints. Define and socialize North Star metrics; socialize success criteria for personalization experiments and ensure consistent measurement across surfaces. Partner with ML/Data Science to build better models, including propensity models and cross-surface offer orchestration. Design and ship high-impact experiments with clear LTV-based success criteria and guardrails. Ensure model quality and rigor through randomization infrastructure, LTV-native model training, unbiased training data pipelines, and holdout groups. Coordinate cross-functional teams with ML Engineering, Data Science, product, and analytics to align goals and experimentation frameworks. Prioritize investments based on ROI by comparing model improvements against surface expansion using LTV impact data. Communicate strategy and results to leadership through regular updates and crisp strategy documents.

Required Qualifications

  • 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
  • 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
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$156k – $229k / yr

Senior Product Manager II- Commerce and Personalization · Disney

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