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Product Manager II, Search Ads Targeting

Google
On-site
Mountain View, California, United States
$156,000 - $229,000 USD yearly
Product Manager

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.
  • 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
  • 1 year of experience in technical leadership.
  • Experience with machine learning and AI in the context of advertising.
  • Experience in Data Science or advanced analytics.
  • Understanding of online advertising ecosystems, including search advertising, audience segmentation, and measurement.


About the job

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

As the Product Manager owning Signals for Advertisers, you will shape how Search Ads Targeting shares signals with advertisers. This is more important than ever because advertisers are increasingly sophisticated in their use of Google's signals to optimize their campaigns, landing pages, and product offerings. As advertisers become better at using AI on their end, they need and can make use of more nuanced and effective signals. As Google's AI becomes better at identifying high-potential users, the gap between advertiser-provided keyword and actual user interests may widen, needing us to move beyond β€œmatching keyword” as the main signal to share back with advertisers.

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 $156,000-$229,000 + 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.


Responsibilities

  • Develop and execute the strategy for sharing relevant signals with advertisers, enabling them to optimize their campaigns and achieve their evolving business goals.
  • Balance advertiser needs with user privacy and legal considerations, ensuring responsible and ethical data practices.
  • Launch new products and features, test their performance, and iterate.
  • Work collaboratively with Engineering, Marketing, Legal, UX, and other teams on innovative technologies.
  • Work cross-functionally with teams globally, including Sales, Legal, and gTech, to ensure alignment and successful product launches.