Product Manager, Personalization

NetflixLos Angeles, CA
$310,000 - $545,000Hybrid

About The Position

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. With more than 300 million members in over 190 countries, Netflix continues to shape the future of entertainment around the world. At the core of our member experience is the need to help members choose a great movie, show, or game that suits their context. Personalization is a long-standing strategy to bring great recommendations to our members, yet there is headroom to be even better by leveraging new AI technological advancements and in the context of Netflix's increasingly broad consumer offering. Leveraging available data, you will craft and communicate a strategic roadmap for core personalization and see to its execution leading cross-functional teams of the industry’s best AI scientists and engineers, consumer insights researchers, and human data sourcing partners. As a high-leverage thought leader, you will have the ability to shape our thinking on how to evolve our product, and have a massive impact on how members enjoy our service. This role is based in our Los Gatos or Los Angeles office (preferred) in a hybrid model, but we are open to remote candidates who are on the West Coast. Some travel to Los Gatos and Los Angeles will be required.

Requirements

  • 5+ years of product management experience ideally working with personalized consumer-facing products.
  • Experience creating and managing evals.
  • Experience managing consumer products leveraging machine learning (e.g. recommendation systems) with a proven record of prioritizing and successfully launching impactful products or platforms.
  • Demonstrated leadership experience working effectively with data scientists, engineers etc.
  • Excellent written communication skills and ability to present technical content to non-technical audiences.
  • Ability to partner with different functions to ensure that your solutions drive real business impact.
  • Strategic thinking and ability to incorporate larger business context into algorithm and product development.
  • Technical background with a strong product sense and excellent communication skills to define, explain and execute your vision.
  • Naturally gravitate towards experimentation as a way to validate hypotheses while having a healthy skepticism when interpreting experimental results.
  • Innovative in mindset: always exploring new ways of thinking, working, and building.
  • Ability to work with world-class engineers.
  • Statistical acumen to collaborate with top-notch data scientists.
  • Design sense to partner with a stellar experience design team.
  • Business sense to drive product goals and strategies.

Nice To Haves

  • Demonstrated ability to build successful consumer-facing applications and algorithms.
  • Strong feel for the entertainment business.

Responsibilities

  • Craft and communicate a strategic roadmap for core personalization.
  • See to the execution of the personalization roadmap.
  • Lead cross-functional teams of AI scientists and engineers, consumer insights researchers, and human data sourcing partners.
  • Shape thinking on how to evolve the product.
  • Drive product goals and strategies.
  • Partner with different functions to ensure solutions drive real business impact.
  • Incorporate larger business context into algorithm and product development.

Benefits

  • Health Plans
  • Mental Health support
  • 401(k) Retirement Plan with employer match
  • Stock Option Program
  • Disability Programs
  • Health Savings and Flexible Spending Accounts
  • Family-forming benefits
  • Life and Serious Injury Benefits
  • Paid leave of absence programs
  • Flexible time off (for full-time salaried employees)
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