About the job
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.
Responsibilities
- Craft and communicate a strategic roadmap for core personalization
- Lead cross-functional teams of AI scientists, engineers, consumer insights researchers, and human data sourcing partners
- Define, explain and execute your vision combining technical background with product sense
- Validate hypotheses through experimentation and interpret experimental results
- Partner with different functions to ensure solutions drive real business impact
- Incorporate larger business context into algorithm and product development
Qualifications
Minimum
- 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
Preferred
- Demonstrated ability to build successful consumer-facing applications and algorithms
- Strong feel for the entertainment business