Principal Product Manager, Ads Delivery – Optimization

Nextdoor

. Own the strategy, roadmap, and execution for Ads Delivery and Optimization across auctions, bidding, budget pacing, ranking, conversion optimization, and automation .

Posted 10/6/2026full-timeCalifornia • United StatesLead💰 $200,000 - $335,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates deep expertise in Ads Delivery and Optimization, including auctions, bidding, and conversion optimization, while effectively collaborating with Engineering, Machine Learning, and Data Science teams to drive product strategy and execution. Proven ability to translate complex machine learning and automation capabilities into intuitive advertiser products that enhance performance and user experience.

Highest-signal resume keywords

Ads Delivery And OptimizationProduct Management ExperienceMachine Learning CollaborationPerformance AdvertisingAuto-Bidding

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Auction OptimizationBidding StrategiesBudget PacingConversion OptimizationAttributionExperimentation DesignMeasurement QualityPrivacy-Constrained SignalsML-Driven RankingInfrastructure Capabilities

Soft Skills

Product JudgmentStakeholder InfluenceTechnical CommunicationCross-Team Leadership

Tools & Technologies

AI ToolsClaudeGeminiChatGPTGlean

Industry Keywords

Advertising TechnologyMarketplace OptimizationMobile MeasurementML-Powered Products

About the role

Key responsibilities & impact

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 measurement foundations 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
Drive tradeoffs across advertiser performance, revenue, delivery efficiency, platform investment, and the neighbor experience
Align senior stakeholders on strategy, decisions, risks, and performance
Collaborate across Engineering, Machine Learning, Data Science, Revenue, Finance, and Product Marketing

Requirements

What you’ll need

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 is a plus
Active use of AI tools such as Claude, Gemini, ChatGPT, and Glean as part of the workflow

Benefits

Comp & perks

Meaningful equity grant with quarterly vesting; first vest date within 3 months of start date
Choice of health plans, including a 100% covered employee-only plan option
OneMedical membership for concierge care
Hybrid employment model blending in-office and work-from-home experiences
Recognition programs
Inclusive work environment