Principal Product Manager- Ads Optimization

LinkedIn•Sunnyvale, CA
•$187,000 - $305,000•Hybrid

About The Position

LinkedIn is hiring a Principal Product Manager to lead the strategy and execution for its Ads Quality systems and user experiences. The role defines how LinkedIn delivers relevant, valuable ads to members while driving strong outcomes for advertisers and the business. It owns trade-offs among advertiser return on investment, member experience, and revenue, and advances systems and experiences that improve relevance, safety, and performance at scale. The position is based in Sunnyvale or San Francisco and is hybrid, with work performed both from home and from a LinkedIn office on select days according to business needs. The role partners across the ads stack with Data Science, Applied AI/ML, and Engineering, and contributes to company-level decisions and product standards across Ads.

Requirements

  • Bachelor of Science degree in a technology-related field or equivalent experience.
  • At least 7 years of experience in product management or an equivalent role.

Nice To Haves

  • At least 5 years in product management with deep experience in trust and safety, policy, and privacy for ads.
  • Track record of improving advertiser ROI while maintaining member-first experiences.
  • Proven leadership owning business-critical roadmaps and shipping large-scale systems with measurable impact.
  • Strong analytical skills, including metrics design, causal inference basics, experimentation, and data-driven decision-making.
  • Experience building B2B products and driving product planning, development, and launch.
  • Familiarity with ads buying technology from LinkedIn and other companies such as Meta and Google.
  • Excellent cross-functional leadership and communication with senior stakeholders.
  • Suggested skills: Advertising Product, Advertising Technology Integrations, Analytical skillset/Data Science, Optimization, ABM, and Data Analysis.

Responsibilities

  • Define the vision, strategy, and roadmap for Ads Quality across relevance, delivery, safety, and user experience.
  • Set success metrics, including member impact, advertiser ROI, quality scores, and 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 experimentation frameworks, including A/B tests, holdouts, and offline evaluations, to validate causal impact.
  • Design end-to-end product experiences that improve perceived quality through ad formats, controls, feedback loops, and transparency.
  • Influence company-level decision-making through clear narratives, trade-off analyses, and executive communication.
  • Mentor product managers and elevate product standards and operational excellence across Ads.

Benefits

  • Annual performance bonus may be included in the total compensation package.
  • Stock may be included in the total compensation package.
  • Benefits may be included in the total compensation package.
  • Other applicable incentive compensation plans may be included.
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