Principal Product Manager – Ads Auction and Measurements

This is a fully remote position, open to applicants in Canada.

📋 Description

• Establish and guide the product roadmap for Yelp's advertising auction, including bidding algorithms, pricing strategies, and budget management systems.

• Recognize essential factors for optimization and innovation.

• Collaborate with Engineering and Data Science teams to design, develop, and enhance the auction-based ad selection system.

• Convert advertiser objectives, user experience, and monetization factors into algorithm specifications.

• Prioritize projects based on data insights and anticipated impact.

• Define and monitor metrics related to auction health, operational efficiency, and business outcomes.

• Create comprehensive measurements for intricate trade-offs.

• Design and analyze large-scale A/B tests.

• Examine extensive auction and advertising datasets to identify optimization opportunities and guide product decisions.

• Manage the complete product lifecycle for auction-related features and enhancements, from ideation to launch and ongoing iteration.

• Work closely with Engineering, Data Science, Sales, Finance, and other Product teams.

• Convey complex technical ideas and trade-offs to varied audiences.

• Enhance the efficiency and effectiveness of Yelp's core advertising marketplace to drive revenue and advertiser success.

⛳️ Requirements

• Over 8 years of experience in technical product management, ideally in auctions, bidding systems, search ranking, or monetization platforms within the online advertising sector.

• Strong theoretical and practical knowledge of auction theory, including VCG and GSP.

• Experience with optimization algorithms, statistical modeling, and machine learning principles for ad targeting and ranking.

• Capability to independently query, manipulate, and analyze large, complex datasets.

• Proficiency in SQL and data analysis tools or programming languages such as Python or R.

• In-depth understanding of applied statistics, experimental design, A/B testing, causal inference, statistical significance, and long-term impact assessment.

• Strong quantitative background.

• Technical proficiency in algorithms, system architecture, and data infrastructure.

• Exceptional communication and collaboration abilities.

• Strong structured thinking and problem-solving skills.

• A Master's or PhD in Computer Science, Statistics, Economics, Operations Research, Mathematics, or a related discipline is highly preferred.

🏝️ Benefits

• Potential for restricted stock units.

• Comprehensive benefits package.

• Yelp's five-star benefits program.

• Reasonable accommodations available for individuals with disabilities during the job application process.