Product Manager I, Ads Sellside Apps

Google•Mountain View, CA

9h•$138,000 - $197,000

About The Position

At Google, Product Managers adapt to a changing world and work on products that affect millions of people. In this role, you will work cross-functionally to guide products from conception to launch, connecting technical and business needs and breaking complex problems into steps that drive product development. Google Product Management collaborates with engineers, designers, marketers, and other teams to design and develop technologies that improve access to information, guiding products through execution and focusing on analysis, positioning, packaging, promotion, and tailoring solutions to 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 develop user journeys and discovery frameworks for digital experiences and help integrate AI into Google’s advertising business. The role includes developing a next-generation business generation platform for Android and iOS developer-creators amid shifts toward generative AI, intelligent coding assistants, and natural-language coding pipelines. Google Ads applies machine learning and Generative AI models such as Gemini to its global business, with work focused on protecting users, improving ad quality, and optimizing advertiser return on investment. The team collaborates with Google Research and DeepMind on advertising technology challenges. Individual pay is determined by job-related skills, experience, and relevant education or training. The US salary range is $138,000–$197,000 USD, with a 15% bonus target, equity, and benefits.

Requirements

Bachelor's degree or equivalent practical experience.
3 years of experience in product management or a related technical role.
1 year of experience taking technical products from conception to launch, such as ideation through execution or end-to-end product development.
Experience in data analysis, product strategy, or policy analysis.

Nice To Haves

2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
2 years of experience 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.

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, using 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 and support sustainable, long-term business growth for publishers.