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About the Role

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.
Define and own the key metrics framework for evaluating auction health, efficiency, and business impact.
Conduct hands-on analysis of large-scale auction and advertising datasets using tools like 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.
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 (e.g., VCG, GSP), 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
SQL
Python
R
Applied statistics
Experimental design (A/B testing)
Causal inference

Location

Remote (Canada)

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

Exceeds $200,000 annually

Benefits

Restricted stock units
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.
The Ads Auction system sits at the heart of this exchange, determining which ads are shown for every opportunity.
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.
We work at the intersection of economics, machine learning, and large-scale systems engineering.

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, disability, or any other protected status.
We are committed to providing reasonable accommodations for individuals with disabilities in our job application process.