G

Google

Runs Search and YouTube and builds Gemini AI

Product Manager 2 - Ads Attribution

Product ManagementPosted on Nov 11
Full-timeIn-person

About the Job

Requirements

  • A bachelor's degree or equivalent practical experience is required.
  • At least 5 years of experience in product management or a related technical role is required.
  • At least 2 years of experience taking technical products from conception to launch is required.
  • At least 2 years of experience as a Product Manager working on AdTech or digital advertising measurement is required.
  • Experience integrating generative AI tools or large language model interfaces into workflows is required.

Responsibilities

  • Define the multi-year direction and roadmap for Google's core attribution modeling portfolio across Google Ads, Google Analytics, and Google Marketing Platform.
  • Manage the full product lifecycle, including opportunity sizing in SQL/Plx, authoring product requirement documents, navigating cross-product launch approvals, running causal impact experiments, and validating realized business growth with Finance.
  • Partner with Engineering, Research Data Science, UX, Go-To-Market, Legal, and Privacy teams to align incentives across horizontal infrastructure and vertical ad channels.
  • Engage directly with advertisers, Sales, and gTech to diagnose complex attribution behaviors, design causal validation frameworks for Last-Click opt-out cohorts, and build customer trust in AI-driven measurement.
  • Guide products from conception to launch by connecting technical and business considerations and breaking down complex problems into steps that drive product development.
  • Analyze, position, package, promote, and tailor solutions to users throughout the product execution cycle.
  • Develop attribution models that help advertisers measure marketing program impact beyond traditional rule-based methods such as Last Click.

Desired Qualifications

  • At least 5 years of experience in product management, data science, or technical program management working on data-intensive, machine-learning-driven, or infrastructure products.
  • Experience translating ambiguous technical and statistical concepts into clear product requirements, roadmaps, and executive narratives.
  • Experience in AdTech, digital advertising measurement, Multi-Touch Attribution, Marketing Mix Modeling, causal inference or lift experimentation, or conversion bidding systems.
  • Demonstrated ability to lead cross-organizational initiatives and align senior engineering, data science, and business stakeholders without direct authority.
  • Familiarity with Google's advertising and measurement ecosystem, including Google Ads, Google Analytics, SA360, CM360, DV360, and Floodlight.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size
10,001+
Company stage
IPO
Headquarters
Mountain View, CA
Founded
1998

Recently Posted Jobs

Explore more opportunities at Google

See more jobs