# Consumer Ad Quality Lead at Yahoo

- Company: Yahoo
- What the company does: Latest news coverage, email, free stock quotes, live scores and video are just the beginning. Discover more every day at Yahoo! Backed by Sequoia.
- Company website: https://www.yahoo.com/
- Type: Startups
- Level: Senior
- Location: United States of America
- Work setup: On-site
- Posted: 2026-09-17
- Apply by: 2026-11-01
- Apply: https://ouryahoo.wd5.myworkdayjobs.com/en-US/careers/job/United-States-of-America/Consumer-Ad-Quality-Lead_JR0027414
- Page: https://www.1752.vc/careers/jobs/yahoo-consumer-ad-quality-lead/

## About the role

As the Consumer Ad Quality Lead (IC4), you will serve as the principal subject matter expert responsible for maintaining the integrity, compliance, and user safety of all advertising creatives across Yahoo's omnichannel ecosystem. You will lead the operational strategy for ad quality enforcement, define auditing standards, and partner directly with Legal, Public Policy, Product, and Ad Tech Engineering to balance a frictionless consumer experience with healthy monetization.

## What they're looking for

- 6+ years of experience in digital ad quality, ad policy enforcement, digital trust & safety, ad operations, or ad verification within an ad tech platform, publisher, or exchange
- Comprehensive technical understanding of the digital advertising ecosystem, including programmatic buying paths (DSP/SSP), ad server architectures (e.g., Google Ad Manager), creative tags (VAST, VPAID, HTML5), and verification vendors
- Deep knowledge of ad content standards, consumer privacy regulations, FTC/regulatory advertising guidelines, and malvertising/bad ad mitigation tactics
- Demonstrated track record of managing high-priority cross-functional escalations across Legal, Engineering, and Business stakeholders
- Demonstrated experience utilizing generative AI tools (such as Gemini, Claude, or internal LLMs) to draft policy documentation, analyze incident data, or create structured prompt criteria for automated text/image evaluation
- Demonstrated ability to validate, calibrate, and audit AI-generated classifications and model outputs, ensuring human-in-the-loop oversight over false positives and edge-case exceptions