Product Manager: AI-Driven Search Ads Quality

Google

Mountain View (CA)

On-site

USD 163,000 - 236,000

Full time

2 days ago
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Job summary

Google is seeking a Product Manager to lead initiatives in Ad Relevance and User Quality. You will guide products from concept to launch, bridging technical and business teams to deliver impactful search ads.

Work with engineers from Google Research and DeepMind to integrate AI/ML into the ads stack, ensuring high-quality user experiences and scalable performance. This role emphasizes collaboration across ads, shopping, and experiences teams, with opportunities to influence strategy and product

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.
  • Experience building or integrating AI and ML technologies into ads prediction, auction stack, or quality and ranking systems.

Responsibilities

  • Develop insights of user behavior and sentiment on Google, and contribute to the long-term growth of the search advertising business.
  • Translate knowledge into ways to better model quality user experiences, either through new models/approaches or enhancing existing models.
  • Drive leadership alignment and buy-in on high visibility projects.
  • Collaborate with auction teams to better understand and account for user experience in the search ads auction.
  • Partner with product teams in Search Ads and Ads on Google Experiences (SAGE), DeepMind, User Experience (UX) and User Experience Research (UXR), and cross-functional partners.

Skills

Product management experience
AI/ML integration experience
Data analysis
Cross-functional collaboration

Education

Bachelor's degree
Master's degree or PhD (preferred)

Job description

Google is seeking a Product Manager to lead initiatives in Ad Relevance and User Quality. You will guide products from concept to launch, bridging technical and business teams to deliver impactful search ads.

Work with engineers from Google Research and DeepMind to integrate AI/ML into the ads stack, ensuring high-quality user experiences and scalable performance. This role emphasizes collaboration across ads, shopping, and experiences teams, with opportunities to influence strategy and product

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