Product Manager, YouTube Ads Marketplace Optimization and ML

Product Manager, YouTube Ads Marketplace Optimization and ML corporate_fare YouTube place Mountain View, CA, USA Required Qualifications Bachelor's degree or equivalent practical experience. 5 years of experience in product management or related technical role. 3 years of experience as a product manager optimizing digital advertising ranking products or on‑demand two‑sided marketplaces like ridesharing or food and grocery delivery. 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end‑to‑end, 0 to 1, etc.). Preferred Qualifications Master's degree in a technology or business‑related field. Experience with Ads ranking, bidding, or marketplace optimization for large‑scale markets. Experience leading technical teams to resolve issues in at‑scale machine learning and smart bidding products. Experience using SQL to perform data analysis and make informed product decisions. Experience in a business function role such as strategic marketing, business operations, or consulting. About the Job At Google, we put our users first. The world is always changing, so we need Product Managers who continuously adapt and are excited to work on products that affect millions of people every day. In this role, you will work cross‑functionally to guide products from conception to launch by connecting the technical and business worlds. You will break down complex problems into steps that drive product development. The team collaborates closely with creative engineers, designers, marketers, and other stakeholders to design and develop technologies that improve access to the world’s information. We guide products throughout the execution cycle, focusing on analyzing, positioning, packaging, promoting, and tailoring our solutions to users. YouTube Ads powers the YouTube ecosystem by keeping it free and engaging for users, rewarding creators, and connecting businesses to consumers worldwide. The YouTube Ads Marketplace Optimization team focuses on growing long‑term revenue by solving complex problems in automated bidding, machine learning, AI, and personalization. In this role, you will work on exciting machine learning and bidding problems that power advertisements across all YouTube surfaces, including In‑Stream, Shorts, Feeds, on mobile, TV, and desktop devices. Compensation US: $163,000 - $237,000 (USD) + 15% bonus target + equity + benefits Key Responsibilities Develop deep insights into advertiser and user behavior on YouTube to inform product strategy. Define and execute a comprehensive strategy for improving bidding algorithms and machine learning models. Optimize the YouTube Ads marketplace to drive long‑term advertiser value and revenue. Partner with engineering and data science teams to solve technical challenges in the prediction and bidding stack. Manage the product lifecycle from proof‑of‑concept to launch and advertiser adoption. Equal Employment Opportunity Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. #J-18808-Ljbffr Google Inc.