Lead Product Manager, AI Ad Platform

Google LLC

Mountain View (CA)

Hybrid

USD 240,000 - 333,000

Full time

44 hours ago
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Benefits offered by this job

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Job summary

Google LLC in Mountain View, CA is seeking a senior Product Manager to guide advertiser-focused products from ideation to launch. You will work cross-functionally with engineering, UX, sales, and finance to deliver scalable ad solutions across YouTube, Search, Shopping, and Display.

The role requires strong leadership and a track record in AI-enabled advertising. Responsibilities include defining roadmaps, prioritizing features, and partnering with channel teams to optimize campaigns and

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 10 years of experience in product management or related technical role.
  • 5 years of experience taking technical products from conception to launch.
  • 5 years of experience in people management with technical leadership.
  • 2 years of experience with Advertising products.

Responsibilities

  • Oversee validation of market size and opportunity.
  • Advocate for advertiser needs across platform and quality teams.
  • Develop a product roadmap and strategy to meet advertiser needs.
  • Interface with customers and sales teams to gather feedback and align roadmaps.
  • Lead cross-functional teams across multiple roles to deliver impact.

Skills

Product management
End-to-end product development
People leadership
Advertising products
Cross-functional collaboration

Education

Bachelor’s degree or equivalent practical experience
Master’s degree in technology or business

Job description

Google LLC in Mountain View, CA is seeking a senior Product Manager to guide advertiser-focused products from ideation to launch. You will work cross-functionally with engineering, UX, sales, and finance to deliver scalable ad solutions across YouTube, Search, Shopping, and Display.

The role requires strong leadership and a track record in AI-enabled advertising. Responsibilities include defining roadmaps, prioritizing features, and partnering with channel teams to optimize campaigns and

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