below marketmost similar roles pay hereabove market
This role pays more than
99%
of similar roles. Most pay
$176,450–$231,000
— the blue band above.
At the midpoint, this role pays about
$582k
versus about
$204k
for comparable roles.
Based on 240 similar postings.
Employer
About Netflix
Netflix is the world''s leading streaming entertainment service, offering a vast library of TV series, films, documentaries, and original content to subscribers in over 190 countries. Industry: Streaming Entertainment & Media
Netflix currently has
165 open roles
on FindRole.
Listed pay typically runs
$388,000–$619,000
across 151 roles with salary data.
Product Manager, Personalization joins the team to enhance the member experience by helping users discover movies, shows, and games that suit their specific context. You will craft and communicate a strategic roadmap for core personalization, leading cross-functional teams of AI scientists, engineers, consumer insights researchers, and human data sourcing partners to execute this vision. The role requires leveraging available data and new AI technological advancements to evolve the product. Key responsibilities include managing consumer products leveraging machine learning, specifically recommendation systems, and creating and managing evals. You must possess a technical background, statistical acumen, and excellent communication skills to translate technical content for non-technical audiences. The work focuses on building successful consumer-facing applications and algorithms within the entertainment business to drive real business impact.
What does a Product Manager earn in California?
Median $221750 from 314 postings across 57 companies.
Craft and communicate a strategic roadmap for core personalization using available data.
Lead cross-functional teams of AI scientists, engineers, consumer insights researchers, and data sourcing partners.
Execute the development and launch of machine learning-based recommendation systems.
Create and manage evaluations to validate hypotheses and measure product performance.
Translate technical content into clear communications for non-technical audiences.
Partner with experience design teams to build and improve consumer-facing applications.
Incorporate larger business contexts into algorithm development and product goals.
What we're looking for
5+ years of product management experience, ideally working with personalized consumer-facing products.
Experience managing consumer products leveraging machine learning, such as recommendation systems.
Proven record of prioritizing and successfully launching impactful products or platforms.
Demonstrated leadership experience working effectively with data scientists and engineers.
Experience creating and managing evals.
Excellent written communication skills and the ability to present technical content to non-technical audiences.
Strategic thinking and the ability to incorporate larger business context into algorithm and product development.
Demonstrated ability to build successful consumer-facing applications and algorithms (preferred); strong feel for the entertainment business (preferred).
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