Product Manager, Ads Quality & ML Modeling

Google; Ionia (NY); On-site; USD 163,000 - 236,000; Full time

Job summary

Google is seeking a mid-level Product Manager for Search Ads Quality Modeling to lead features from concept to launch. You will partner with AI/ML teams and cross-functional partners to improve ad relevance and user experience.

You'll work across Search Ads, Ads on Google Experiences, and DeepMind to build models that raise quality standards while balancing cost and performance for billions of queries daily.

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 (e.g., ideation to execution, 0 to 1).
• 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, UX/UXR, and cross-functional partners.

Skills

5+ years product management

AI/ML integration

conception to launch

cross-functional collaboration

Education

Bachelor's degree or equivalent

Master's/PhD preferred

Job description

Google is seeking a mid-level Product Manager for Search Ads Quality Modeling to lead features from concept to launch. You will partner with AI/ML teams and cross-functional partners to improve ad relevance and user experience.

You'll work across Search Ads, Ads on Google Experiences, and DeepMind to build models that raise quality standards while balancing cost and performance for billions of queries daily.