Product Manager I, Ads Sellside Apps

corporate_fare Google Mountain View, CA, USA Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Bachelor's degree or equivalent practical experience. 3 years of experience in product management or related technical role. 1 year of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc). Experience in data analysis, product strategy, or policy analysis. Preferred qualifications: 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders. 2 years of experience in a role preparing and delivering technical presentations to executive leadership. Experience in mobile business generation, Supply-Side Platforms (SSPs), mediation, or programmatic bidding. Experience engaging directly with app developers and partnering with Go-to-Market teams to drive product adoption. About the job At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and 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 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. As a Product Manager in the Sellside App Network team, you will evolve targeting and recommendation systems using advanced AI solutions and Large Language Model (LLM) classification insights. You will architect engaging user journeys and discovery frameworks that power the next generation of digital experiences. Operating at the forefront of Google’s integration of AI technologies into the advertising business, you will have an opportunity to shape the mobile app ecosystem. You will develop a next-generation business generation platform that empowers Android and iOS developer-creators, capitalizing on rapid industry shifts toward generative AI, intelligent coding assistants, and natural-language vibe coding pipelines. With your deep product expertise, you will blend AI innovation with scalable business impact.Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google . Architect an AI-driven strategy to ingest and synthesize complex contextual data across the app ecosystem and partner with DeepMind to deploy deep learning pipelines. Lead the AdMob first-party data ecosystem using AI-augmented user surveys and analytics to capture user attribute, interest, and intent data at scale. Partner with buyer teams to discover signals, utilizing predictive ML models to dynamically interpolate and scale high-fidelity user insights across emerging inventory. Establish advanced quality benchmarks using LLMs to automate semantic analysis and classify inventory insights at scale. Partner with buyers using algorithmic matchmaking to connect them with optimal inventory, ensuring sustainable, long-term business growth for publishers. 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 . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. #J-18808-Ljbffr Google Inc.