Product Manager I, Ads Sellside Apps

Onsite$138,000 - $197,000/yrPosted yesterday

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Job details

Location: Mountain View, California
Work type: Onsite
Compensation: $138,000 - $197,000/yr
Posted: yesterday
Apply on: careers.google.com

About this role

Minimum qualifications:

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.

Responsibilities

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 workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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About Google

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