below marketmost similar roles pay hereabove market
This role pays more than
98%
of similar roles. Most pay
$183,448–$255,312
— the blue band above.
At the midpoint, this role pays about
$582k
versus about
$219k
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 Senior Product Manager, Ads Signal Modeling and Targeting joins the Ads Platform team to own the vision, strategy, and execution of the Ads Targeting Platform. This role involves structuring, surfacing, and activating audience and contextual signals across forecasting, media planning, and advertiser sales. You will lead roadmap prioritization, partner with engineering and data science on signal ingestion, normalization, and taxonomy design, and establish data governance frameworks. The position requires deep fluency in ad serving systems, SSPs, DSPs, APIs, and integration frameworks. You will translate market demands into platform capabilities, ensuring the infrastructure supports the full sales cycle from planning to optimization. The work focuses on building a competitive differentiator within the connected TV advertising space by managing complex data taxonomies and signal classification for enterprise advertisers.
What does a Product Manager earn in California?
Median $221750 from 314 postings across 57 companies.
Define and own the long-term strategic vision for the Ads Targeting Platform and its data taxonomies.
Lead roadmap prioritization by balancing technical dependencies, partner needs, and business objectives.
Partner with engineering and data science to make foundational decisions on signal ingestion and data storage.
Ensure the platform supports the full advertiser sales cycle from forecasting and planning to campaign optimization.
Establish governance frameworks for targeting signal quality, commercial relevance, and regulatory compliance.
Drive cross-functional alignment across sales, engineering, data science, and GTM teams to resolve competing demands.
Partner with marketing leadership to define how targeting capabilities are packaged and positioned for the market.
What we're looking for
10+ years of Product Management experience.
Significant tenure owning ad tech platforms at scale, including targeting infrastructure, signal management, or audience data platforms.
Proven track record of setting product vision and delivering against it in complex, multi-stakeholder environments.
Expert-level understanding of the advertising ecosystem, including DSP platforms, programmatic buying, audience and contextual targeting, and CTV advertising.
Deep experience with data taxonomies, signal classification, and audience data infrastructure.
Demonstrated ability to make foundational architectural decisions in partnership with engineering and data science.
Strong UX leadership experience delivering interfaces and workflows for sales, media planning, and operations teams.
Familiarity with advertising data governance, privacy regulations, and the evolving global landscape of targeting compliance.
Ads Targeting Platform
DSP
Programmatic Buying
CTV Advertising
APIs
Data Taxonomies
Data Governance
Signal Ingestion
Data Engineering
Ad Serving Systems
Integration Frameworks
Data Science