AI-Driven Gmail Ads PM, User Value

Google Inc.

Mountain View (CA)

On-site

USD 163,000 - 236,000

Full time

14 days+
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Job summary

Google Mountain View is seeking an experienced Product Manager to drive growth for Gmail ads. You will guide products from conception to launch, connecting the technical and business worlds and breaking down complex problems into executable steps.

You will own end-to-end product development for ads systems, collaborating with engineering, UX, design, and research teams to balance user value with business growth while leveraging AI/ML to personalize experiences.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience in product management or a related technical role.
  • 2 years of experience taking technical products from conception to launch.
  • 2 years of experience as a Product Manager for ads systems, including modeling, targeting, bidding, auction, or ads quality.
  • Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

  • Develop and advocate the product goals and strategy for User Value.
  • Take full-stack ownership across modeling, bidding, targeting, auction, and retrieval to ensure continued improvement of user value.
  • Leverage AI tools to improve user experience, pushing product boundaries.
  • Define and prioritize product roadmaps and requirements, creating clear product requirements documents (PRDs).
  • Partner deeply with Engineering, UX, and Research teams throughout the entire product lifecycle, from ideation to launch and iteration.

Skills

Product management experience
Mentoring
Problem solving

Education

Bachelor's degree or equivalent practical experience

Job description

Google Mountain View is seeking an experienced Product Manager to drive growth for Gmail ads. You will guide products from conception to launch, connecting the technical and business worlds and breaking down complex problems into executable steps.

You will own end-to-end product development for ads systems, collaborating with engineering, UX, design, and research teams to balance user value with business growth while leveraging AI/ML to personalize experiences.

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