Product Manager I, Google Tag Manager
Google· Internet & Cloud Services· Sep 7, 2026 · 2mo ago
Mountain View, CA, USA · Irvine, CA, USA · Kirkland, WA, USA
In office
Full-time
Mid
$99K–$140K est.
3+ years exp
Job description
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.
This role involves close collaboration with a number of cross-product and Google Ads teams. Your mission is to build the next generation of Google’s ads conversion measurement, including developing high-quality and privacy-durable measurement solutions. You will enable customers to bring and make sense of first-party data from disparate sources and lead businesses to understand, trust, and adopt our measurement solutions.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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .
• Own the goal, strategy, and execution for a key product area within Ads Data Management by understanding advertiser needs, the engaged landscape, and regulatory trends.
• Define a compelling product roadmap, write clear product requirements, prioritize features, and make trade-offs to deliver maximum impact.
• Lead a cross-functional team of engineering, UX, research, and Go-To-Market partners to bring products from concept to launch and landing.
• Define success metrics, monitor product performance, and continuously iterate to ensure solutions empower advertisers to effectively and privately use their first-party data.
• Drive innovation in how advertisers ingest, manage, and activate their first-party data across ad platforms by developing long-term product strategies.
• Bachelor's degree or equivalent practical experience.
• 3 years of experience in product management or related technical role.
• 1 year of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).
• 1 year of experience as a Product Manager for Ads Measurement or Bidding.
Minimum qualifications:
• Bachelor's degree or equivalent practical experience.
• 3 years of experience in product management or related technical role.
• 1 year of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).
• 1 year of experience as a Product Manager for Ads Measurement or Bidding.
Preferred qualifications:
• Master's degree in a technology or business related field.
• 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
• Experience working with privacy-preserving techniques and developing privacy-durable measurement solutions.
• Experience applying advanced ML/modeling techniques in a data-constrained environment.
• Experience integrating first-party data from disparate sources such as CDPs, CRMs, databases, and cloud stores.
Application prep
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