Ad Quality & Trust Lead — AI-Driven Policy & Safety

Yahoo Holdings Inc. in

Mountain View (CA)

Hybrid

USD 91,000 - 189,000

Full time

6 days ago

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Benefits offered by this job

Flexible hybrid work options

Healthcare

401k

Backup childcare

Education stipends

Job summary

Yahoo is seeking a Consumer Ad Quality Lead (IC4) to own the integrity, compliance, and user safety of all 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 a frictionless consumer experience with healthy monetization.

You will drive AI‑augmented ad review workflows, design structured prompts for policy evaluation, and establish human‑in‑the‑loop protocols to catch

Qualifications

6+ years of experience in digital ad quality, ad policy enforcement, digital trust & safety, ad operations, or ad verification.
Comprehensive technical understanding of the digital advertising ecosystem, including programmatic buying paths (DSP/SSP), ad server architectures, 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.
Proven analytical and problem‑solving skills with a strong commitment to consumer trust and product integrity.

Responsibilities

Ad Quality Governance & Strategy: Serve as the lead subject matter expert on advertising policy and consumer experience standards, establishing audit frameworks and operational benchmarks across display, native, video, and programmatic channels.
AI-Assisted Policy Enforcement & Screening: Lead the deployment, tuning, and ongoing evaluation of internal and third‑party AI‑powered creative scanning tools to detect bad ads, deceptive landing pages, and policy violations across high‑velocity inventory.
Complex Escalation & Incident Management: Own high‑severity ad quality escalations, coordinating rapid triage and resolution with Ad Operations, Technical Support, Product Engineering, and Legal during malicious or sensitive ad events.
Cross‑Functional Partnership: Collaborate with Product and Ad Platforms teams to translate policy standards into automated enforcement logic, reporting dashboards, and platform safeguards that prevent bad ad injection at the SDK and exchange level.
Operational Optimization & Tool Automation: Identify manual ad review bottlenecks and design prompt workflows, spreadsheet automations, and AI‑assisted summary pipelines (using Gemini Enterprise) to accelerate review turnaround and audit reporting.
Audit & Trend Analysis: Analyze platform‑wide ad quality metrics, advertiser rejection trends, and consumer feedback signals to identify systemic policy gaps, publishing recurring executive briefings and policy recommendations.
Mentorship & Operational Excellence: Guide, mentor, and support operational ad review specialists, establishing standard operating procedures, documentation, and training to elevate team capabilities and consistency.