Product Manager, Ads Delivery & Optimization

Nextdoor is a neighborhood network with an advertising platform that helps marketers connect with local communities and achieve measurable outcomes. The Principal Product Manager, Ads Delivery & Optimization will lead the strategy, roadmap, and execution for ad auctions, bidding, pacing, ranking, conversion optimization, measurement, and ML-driven optimization. The role partners with Engineering, Machine Learning, Data Science, Revenue, Finance, and Product Marketing to improve advertiser outcomes, revenue growth, delivery efficiency, and the neighbor experience.

Responsibilities:

• Own the strategy, roadmap, and execution for Ads Delivery and Optimization across auctions, bidding, budget pacing, ranking, conversion optimization, and automation
• Partner with Engineering, Machine Learning, and Data Science to define model objectives, design experiments, and drive deployment, monitoring, and iteration
• Expand optimization across advertiser goals, formats, and surfaces, including clicks, leads, purchases, app installs, video, Search Ads, SMB products, and emerging inventory
• Build the measurement foundations that make optimization reliable, including attribution, event and label quality, calibration, reporting, and privacy-constrained signals
• Turn complex optimization capabilities into intuitive advertiser products, including auto-bidding and other automation that improves outcomes and simplifies campaign management
• Drive tradeoffs across advertiser performance, revenue, delivery efficiency, platform investment, and the neighbor experience. Align senior stakeholders on strategy, decisions, risks, and performance

Requirements:

• 12+ years of product management experience, including significant experience in advertising technology, marketplace optimization, or ML-driven ranking and delivery systems
• Deep expertise in ads delivery and optimization, including auctions, bidding, budget pacing, ranking, conversion optimization, attribution, or experimentation
• Strong technical fluency and experience partnering with Engineering, Machine Learning, and Data Science on models, experimentation, calibration, serving systems, and platform architecture
• Strong product judgment and experience balancing advertiser outcomes, revenue, delivery, measurement quality, and user experience when data or signals are imperfect
• Experience translating complex ML, automation, and infrastructure capabilities into intuitive advertiser products that drive measurable value and adoption
• Demonstrated ability to set strategy, lead complex initiatives across teams, influence senior stakeholders without formal authority, and communicate technical concepts clearly
• Experience with performance advertising, auto-bidding, privacy-constrained attribution, mobile measurement, or ML-powered products at scale