Principal Product Manager, Ads Delivery & Optimization
US Remote · US CA San Francisco - · USD 200,000-335,000 · 12+ years experience · Posted Oct 6, 2026
At a glance
- Experience
- 12+ years experience
- Location
- US Remote · US CA San Francisco -
- Salary
- USD 200,000-335,000
About the role
- As a Principal Product Manager, Ads Delivery & Optimization, you will lead the strategy and roadmap for how campaigns turn advertiser goals into effective delivery and measurable outcomes.
- You will own bidding, pacing, ranking, outcome optimization, and the measurement foundations that make these systems reliable.
- This is a highly technical and strategic role at the center of Nextdoor’s Ads ecosystem.
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.
Preferred qualifications
- Experience with performance advertising, auto-bidding, privacy-constrained attribution, mobile measurement, or ML-powered products at scale is a plus.
Benefits
- A variety of health plans, including a 100% covered employee-only plan option
- OneMedical membership for concierge care
- A meaningful equity grant with quarterly vesting and a first vest date within 3 months of start date
Workplace
- Hybrid employment model blending an in-office presence and work-from-home experience for valued employees near offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London.
Skills
- Claude
- Gemini
- ChatGPT
- Glean
- Machine Learning
- Data Science
- Advertising Technology
- Auctions
- Bidding
- Budget Pacing
- Ranking
- Conversion Optimization
Show all 15 skills
- Attribution
- Experimentation
- Auto-bidding
