Ad Quality Lead: AI-Driven Trust & Compliance (Hybrid)

Yahoo Holdings Inc.

Nashville (TN)

Hybrid

USD 91,000 - 189,000

Full time

14 days+
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Job summary

Yahoo Holdings Inc. is seeking a Consumer Ad Quality Lead (IC4) to oversee the integrity, compliance, and user safety of advertising creatives across Yahoo’s omnichannel ecosystem.

You will define auditing standards and partner with Legal, Public Policy, Product, and Ad Tech Engineering to balance user experience with monetization. You will champion AI-augmented ad review workflows, evaluate AI-driven classifiers, and establish human-in-the-loop review protocols to catch malvertising and

Qualifications

  • 6+ years in digital ad quality, policy enforcement, or ad verification within an ad tech platform or publisher.
  • Strong knowledge of ad content standards, privacy regulations, and malvertising mitigation tactics.
  • Experience using generative AI tools to draft policy docs or analyze data.
  • Ability to validate AI classifications with human-in-the-loop oversight.

Responsibilities

  • Define auditing standards and governance across display, native, video, and programmatic channels.
  • Lead AI-assisted policy enforcement, screening, and tool optimization for ads and landing pages.
  • Own high-severity ad quality escalations, coordinating cross-functional teams for rapid resolution.
  • Translate policy standards into automated enforcement logic, dashboards, and platform safeguards.

Skills

Ad quality expertise
Analytical problem-solving
Generative AI tools
Cross-functional collaboration

Tools

Tableau
Looker
SQL
Google Ad Manager

Job description

Yahoo Holdings Inc. is seeking a Consumer Ad Quality Lead (IC4) to oversee the integrity, compliance, and user safety of advertising creatives across Yahoo’s omnichannel ecosystem.

You will define auditing standards and partner with Legal, Public Policy, Product, and Ad Tech Engineering to balance user experience with monetization. You will champion AI-augmented ad review workflows, evaluate AI-driven classifiers, and establish human-in-the-loop review protocols to catch malvertising and

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