Sr Product Mgr Ii- Personalization

Disney Streaming

New York, NY, USA
New york city, ny: $163,100 to $218,700; santa mon...
Personalization and experimentation expertise
Drive product personalization strategies
Manage experiments and enhance tools
This critical role sits at the intersection of technology, content, and user experience, focusing on world-class digital experiences for Disney’s news and entertainment brands

Job Summary

  • This critical role sits at the intersection of technology, content, and user experience, focusing on world-class digital experiences for Disney’s news and entertainment brands.
  • You will drive product personalization strategies by collaborating with machine learning teams, managing experiments, enhancing technical tools, and advocating users to improve the user experience and revenue potential of our digital offerings.
  • 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.

Matching Summary

This critical role sits at the intersection of technology, content, and user experience, focusing on world-class digital experiences for Disney’s news and entertainment brands.

Salary

New York City, NY: $163,100 to $218,700; Santa Monica, CA: $155,700 to $208,700; Bonus and/or long-term incentive units may be provided; Full range of medical, financial, and/or other benefits

Skills & Requirements

Must-have

  • personalization and experimentation expertise
  • drive product personalization strategies
  • manage experiments and enhance tools
  • collaborate with machine learning teams
  • lead cross-functional teams
  • data-driven decision making

Nice-to-have

  • passionate about UX
  • curious about marketplace trends
  • collaborative and self-directed
  • user-centric mindset
  • storytelling and innovation

Key Requirements

  • 7 years or more experience in product management
  • proven track record in experimentation, A/B testing, and personalization
  • strong technical aptitude
  • familiarity with applied machine learning frameworks
  • bachelor's or master's degree in computer science, statistics, business, media or a related field

Work Rights

Not specified

Tailored Resume

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