Senior Ads Quality Product Lead (Hybrid)

LinkedIn; California; Hybrid; USD 187,000 - 305,000; Full time

Job summary

LinkedIn is seeking a seasoned product leader to own Ads Quality strategy and execution, ensuring ads are relevant, safe, and valuable for members while driving strong outcomes for advertisers and LinkedIn revenue.

Based in Sunnyvale or San Francisco, the role is hybrid, collaborating with Data Science, Applied AI/ML, and Engineering to improve ranking models, bidding algorithms, and creative quality at scale.

Qualifications

• BS degree in a technology-related field or equivalent experience.
• 7+ years of experience in a product management or equivalent role.
• 5+ years in product management with deep experience in trust/safety, policy, and privacy for ads.
• Track record improving advertiser ROI while maintaining member-first experiences.

Responsibilities

• Define the vision, strategy, and roadmap for Ads Quality spanning relevance, delivery, safety, and UX.
• Set clear success metrics (member impact, advertiser ROI, quality scores, revenue lift) and drive measurable outcomes.
• Partner with Data Science, Applied AI/ML, and Engineering to improve ranking models, bidding algorithms, auction signals, and creative quality at scale.
• Establish rigorous experimentation frameworks (A/Bs, holdouts, offline evals) to validate causal impact.
• Design end-to-end product experiences that raise perceived quality: better ad formats, controls, feedback loops, and transparency.
• Influence company-level decision-making with crisp narratives, tradeoff analyses, and executive communication.
• Mentor PMs; elevate product standards and operational excellence across Ads.

Skills

Advertising Product

Advertising Technology Integrations

Analytical skillset/Data Science

Optimization

ABM

Data Analysis

Education

BS degree in a technology-related field or equivalent experience

Job description

LinkedIn is seeking a seasoned product leader to own Ads Quality strategy and execution, ensuring ads are relevant, safe, and valuable for members while driving strong outcomes for advertisers and LinkedIn revenue.

Based in Sunnyvale or San Francisco, the role is hybrid, collaborating with Data Science, Applied AI/ML, and Engineering to improve ranking models, bidding algorithms, and creative quality at scale.