Product Manager I, Ads Sellside Apps

Google Google · Big Tech · Mountain View, CA +1

Product Manager for Google Ads Sellside Apps, focusing on evolving targeting and recommendation systems using AI and LLMs. The role involves architecting user journeys, developing a business generation platform for developers, and integrating AI into the advertising business to shape the mobile app ecosystem.

What you'd actually do

  1. 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.
  2. Lead the AdMob first-party data ecosystem using AI-augmented user surveys and analytics to capture user attribute, interest, and intent data at scale.
  3. Partner with buyer teams to discover signals, utilizing predictive ML models to dynamically interpolate and scale high-fidelity user insights across emerging inventory.
  4. Establish advanced quality benchmarks using LLMs to automate semantic analysis and classify inventory insights at scale.
  5. Partner with buyers using algorithmic matchmaking to connect them with optimal inventory, ensuring sustainable, long-term business growth for publishers.

Skills

Required

  • product management
  • technical products from conception to launch
  • data analysis
  • product strategy
  • policy analysis

Nice to have

  • working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders
  • preparing and delivering technical presentations to executive leadership
  • mobile business generation
  • Supply-Side Platforms (SSPs)
  • mediation
  • programmatic bidding
  • engaging directly with app developers
  • partnering with Go-to-Market teams to drive product adoption

What the JD emphasized

  • advanced AI solutions
  • Large Language Model (LLM) classification insights
  • AI technologies
  • generative AI
  • intelligent coding assistants
  • natural-language vibe coding pipelines
  • AI innovation
  • AI-driven strategy
  • deep learning pipelines
  • AI-augmented user surveys
  • predictive ML models
  • LLMs
  • algorithmic matchmaking

Other signals

  • evolving targeting and recommendation systems using advanced AI solutions and Large Language Model (LLM) classification insights
  • architecting engaging user journeys and discovery frameworks that power the next generation of digital experiences
  • developing 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
  • blending AI innovation with scalable business impact