Principal Product Manager – Ads Auction and Measurements

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Logo of Yelp

Yelp

1001 - 5000 employees

Founded 2004

🍽️ Food & Beverage

🏨 Hospitality

📣 Marketing

Food & Beverage • Hospitality • Marketing

Yelp is a platform that connects people with great local businesses, allowing users to write and share reviews of a variety of services including restaurants, boutiques, salons, dentists, mechanics, plumbers, and more. With approximately 155 million cumulative reviews contributed by users, Yelp enhances the consumer experience by bringing traditional word-of-mouth recommendations online.

📋 Description

• Define and drive the product roadmap for Yelp's ads auction, bidding algorithms, pricing mechanisms, and budget pacing systems • Identify key levers for optimization and innovation • Partner with Engineering and Data Science to design, develop, and refine the auction-based ad selection system • Translate advertiser goals, user experience, and monetization considerations into algorithmic requirements • Prioritize initiatives based on data and expected impact • Define and own metrics for auction health, efficiency, and business impact • Develop robust measurement for complex trade-offs • Design and interpret large-scale A/B tests • Analyze large-scale auction and advertising datasets to uncover optimization opportunities and inform product decisions • Lead the end-to-end product lifecycle for auction-related features and improvements, from ideation through launch and iteration • Collaborate with Engineering, Data Science, Sales, Finance, and other Product teams • Communicate complex technical concepts and trade-offs to diverse audiences • Improve the efficiency and effectiveness of Yelp's core ad marketplace to influence revenue and advertiser success

🎯 Requirements

• 8+ years of technical product management experience, preferably in auctions, bidding systems, search ranking, or monetization platforms within online advertising • Strong theoretical and practical understanding of auction theory, including VCG and GSP • Experience with optimization algorithms, statistical modeling, and machine learning concepts for ad targeting and ranking • Ability to independently query, manipulate, and analyze large, complex datasets • Proficiency with SQL and data analysis tools or languages such as Python or R • Deep understanding of applied statistics, experimental design, A/B testing, causal inference, statistical significance, and long-term impact measurement • Strong quantitative background • Technical fluency with algorithms, system design, and data infrastructure • Excellent communication and collaboration skills • Strong structured thinking and problem-solving abilities • Master's or PhD in Computer Science, Statistics, Economics, Operations Research, Mathematics, or a related field is highly preferred

🏖️ Benefits

• Restricted stock units may be offered • Benefits • Yelp's five star benefits • Reasonable accommodations for individuals with disabilities in the job application process

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