Product Manager II, Ads Sales Intelligence
As a Product Manager for Ads Sales Intelligence, you will drive Google's growth by innovating and building a sales intelligence platform for the global sales organization. You will identify and develop customer-centric ads intelligence insights that directly contribute to business growth. You will lead the entire product development lifecycle, from user research and goal setting to defining requirements and guiding cross-functional teams, while partnering across Google to ensure product launches and business impact.
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in product management or related technical role.
- 2 years of experience taking technical products from conception to launch.
Preferred qualifications:
- Master’s degree or PhD in a technology or business related field.
- Experience building AI agents at scale.
- Experience in a product "0 to 1" role in startups or innovation labs.
- Understanding of the online ads and customer relationship management space.