Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in product management or a related technical role.
• 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).
• 3 years of experience working directly within digital advertising or ad tech systems.
• Experience working on one core Ads Quality pillar: Ads targeting, Bidding algorithms/pricing, Ad retrieval systems, Ad auction dynamics/ranking, or Ad creatives.

Preferred qualifications:

• Master's degree in a technology or a business related field.
• 5 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
• 5 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
• 4 years of experience in a role preparing and delivering technical presentations to senior leadership.
• Experience in large-scale advertising ecosystems (e.g., Google or YouTube Ads).
• Experience managing ads quality for app install/engagement campaigns across multiple platforms or distribution channels (e.g., search, discovery feeds, app stores).

About the job

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

Mobile app advertising is a multi-billion dollar business experiencing rapid global growth. Our team pioneered fully automated advertising campaigns powered by machine learning, automating targeting, bidding, and creative assets to maximize advertiser return on investment.

Reaching over one billion users, our platform spans premium inventory across high-visibility channels, including Search, app store discovery, and personalized content feeds. These key properties drive exceptional performance, making our platform the premier destination for app promotion.

Our mission is to deliver engaging user experiences while maximizing commercial impact for advertisers and developers. We deploy advanced artificial intelligence models across five core advertising pillars: targeting, retrieval, personalization, auction mechanics, and creatives. In this role, you will balance complex strategic trade-offs, driving product excellence, long-term user satisfaction, and sustained business growth across leading digital properties.

Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.

Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $278000 (USD) 20% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities

• Define and drive the comprehensive product outlook and multi-year strategy for ad experiences across major digital channels (Search, App Store, and Content Feeds) to support sustainable, long-term business growth.
• Architect and advance a unified, machine learning-driven quality framework that optimizes targeting, ranking, bidding, and creative selection at massive scale.
• Leverage the unique strengths of individual inventory channels while identifying cross-platform synergies to build cohesive, high-performing advertising solutions.
• Balance the competing needs of end users and app developers by delivering relevant, high-quality ad experiences while maximizing advertiser acquisition and return on investment.
• Partner closely with engineering, data science, research, measurement, and broader consumer product teams to deliver cohesive business generation features and delightful user experiences.