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.
The Product Manager, Data Foundations joins the Ads Platform team to own the core data capabilities powering the advertising business. This role sits at the intersection of ads, data infrastructure, measurement, privacy, and platform product. You will work with the Ads Data Engineering team to deliver standardized, scalable, and discoverable datasets and frameworks, treating data as a product. Key responsibilities include defining the vision, strategy, and roadmap for data product capabilities, establishing governance for accuracy and lineage, and mitigating risks related to privacy and global ad regulations. You must possess experience with data infrastructure, event-driven systems, warehouse/lake architectures, and large-scale distributed data pipelines. The role solves the technical challenge of building a reliable, well-governed, and extensive data foundation for a growing connected TV advertising space.
What does a Product Manager earn in New York?
Median $195400 from 313 postings across 44 companies.
Define the vision, strategy, and roadmap for Ads Data Foundations to support multiple advertising teams.
Translate business needs from Ads Product and Technology teams into durable platform investments.
Prioritize the product roadmap to balance near-term delivery with long-term scalable data solutions.
Establish requirements and governance for data accuracy, lineage, freshness, access controls, and compliance.
Identify and mitigate risks related to privacy, data sharing, retention, and global advertising regulations.
Define success metrics for dataset adoption, data quality, system reliability, and downstream business impact.
Partner with the Data Platform team to ensure advertising data needs are represented in the core platform.
What we're looking for
10+ years of Product Management experience focused on data infrastructure, event-driven systems, warehouse/lake architectures, and large-scale distributed data pipelines.
Demonstrated ability to deliver a comprehensive roadmap and vision for a large-scale data lakehouse catering to diverse customer groups.
Deep understanding of the advertising data ecosystem, data privacy, and governance.
Proven ability to partner with highly technical teams across APIs, backend systems, and internal tools.
Proven experience working with cross-functional teams including Data & Insights, Design, Engineering, and Data Science.
Familiarity with legal compliance and the evolving landscape of advertising regulations worldwide.
Master Data Management (MDM)
Data Governance
Data Quality
Metadata Management
Generative AI
ChatGPT
Microsoft Copilot
APIs
Swagger
OpenAPI
Event-driven Architecture
Agile
Product Roadmap
Data Services
Data Product Management
Data Governance
Data Architecture
Data Quality
Backlog Management
Business Intelligence
Data Engineering
User Stories
Privacy-by-Design