Principal Product Manager - Ads Auction and Measurements (Remote - United States) at Yelp, Inc | Austin, USA | Rezi

Principal Product Manager - Ads Auction and Measurements (Remote - United States) at Yelp, Inc

Principal Product Manager - Ads Auction and Measurements (Remote - United States)

Yelp, Inc · Austin, USA

1 weeks ago

Principal Product Manager - Ads Auction and Measurements (Remote - United States)

Yelp, Inc · Austin, USA

7 days ago
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About the Role

The Ads Marketplace team is responsible for the core engine that drives Yelp's advertising business. We develop and optimize the sophisticated auction, bidding, and pacing systems that balance advertiser value (ROI), consumer experience, and Yelp's monetization goals. As the Principal Product Manager for Ads Auction and Measurement, you will own the product strategy and execution for Yelp's core ad auction, bidding, pricing, budget pacing mechanisms, and corresponding measurements. This is a highly technical leadership role where you will guide the evolution of algorithms and systems that make real-time decisions maximizing value across multiple stakeholders. You will define how we measure the performance and impact of these complex systems, focusing on both short-term efficiency and long-term impact. You will partner closely with world-class engineering and applied science teams to design, experiment, implement, and iterate on auction dynamics and the metrics that guide our progress.

Responsibilities

  • Define and drive the product roadmap for Yelp's ads auction, bidding algorithms, pricing mechanisms, and budget pacing systems.
  • 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.
  • Define and own the key metrics framework for evaluating auction health, efficiency, and business impact.
  • Drive the development of robust measurement for complex trade-offs.
  • Design and interpret large-scale A/B tests.
  • Conduct hands-on analysis of large-scale auction and advertising datasets using SQL and Python.
  • Lead the end-to-end product lifecycle for auction-related features and improvements.
  • Serve as the product leader for the auction domain, collaborating effectively with Engineering, Data Science, Sales, Finance, and other Product teams.
  • Communicate complex technical concepts and trade-offs clearly to diverse audiences.
  • Directly influence Yelp's revenue and advertiser success by improving the efficiency and effectiveness of the core ad marketplace.

Requirements

  • 5+ years of technical product management experience, preferably focused on auctions, bidding systems, search ranking, or monetization platforms within the online advertising (AdTech) industry.
  • Strong theoretical understanding and practical experience with auction theory, optimization algorithms, statistical modeling, and machine learning concepts relevant to ad targeting and ranking.
  • Proven ability to independently query, manipulate, and analyze large, complex datasets.
  • Proficiency with SQL and data analysis tools/languages (e.g., Python, R) is required.
  • Deep understanding of applied statistics, experimental design (A/B testing), causal inference, and methods for measuring statistical significance and inferring long-term impact.
  • Ability to engage deeply with engineers and data scientists on technical details of algorithms, system design, and data infrastructure.
  • Excellent communication and collaboration skills, with the ability to influence technical and non-technical stakeholders across various functions.
  • Strong structured thinking and problem-solving abilities, capable of breaking down complex problems into actionable components.

Skills

  • Auction theory
  • Optimization algorithms
  • Statistical modeling
  • Machine learning
  • Ad targeting
  • Ad ranking
  • SQL
  • Python
  • R
  • Applied statistics
  • Experimental design (A/B testing)
  • Causal inference
  • Structured thinking
  • Problem-solving

Location

  • Remote (US)

Work Type

  • Fully remote

Experience Level

  • Principal

Education Level

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

Salary/Compensations

  • $207,000 - $326,000

Benefits

  • Restricted stock units
  • Benefits
  • Five star benefits

About the Company

  • Yelp connects people with great local businesses. Our platform is powered by a vibrant community contributing reviews and engaging with local businesses daily. We monetize primarily through advertising, helping millions of businesses connect with high-intent consumers.

Equal Opportunity

  • We are proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability.
  • We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law.
  • We are committed to providing reasonable accommodations for individuals with disabilities in our job application process.