Global Product Lead, Global Business Applied AI, PSO

Global Product Lead, Global Business Applied AI, PSO

Google Irvine, CA, USA ;
Boulder, CO, USA ; +5 more ; +4 more

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

X The application window will be open until at least August 17, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

This role may also be located in our Playa Vista, CA campus.

Applicants in the County of Los Angeles:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Applicants in San Francisco:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Irvine, CA, USA;
Boulder, CO, USA;
Mountain View, CA, USA;
New York, NY, USA;
Los Angeles, CA, USA;
San Francisco, CA, USA
.

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in product or program management.

• Experience with Ads policy, regulatory, or Trust and Safety challenges, specifically in how they impact business strategy, Sales and Support experiences.
• Understanding of applied Artificial Intelligence, support platforms, the online advertising industry, and Google Ads.
• Quantitative analysis skills including experience with SQL/ PLX.
• Excellent written and verbal communication abilities, building and tailoring narratives for a range of audiences, including executive leaders.
• Comfortable working with large datasets to identify insights and outliers, and summarize key findings.
• Success in project management, execution, decision-making and strategic thinking.

As a part of the Go-to-Market Operations (GTM) team, a global group that serves as the strategy, operations, and product commercialization partner to Global Business Organization (GBO), you will help ensure Google's complex and ever-evolving Ads business delivers strategic growth and operates effectively.

As a part of the GBAI team, you will architect and deliver AI-powered, intuitive, and connected solutions to significantly amplify the value GBO brings to customers and partners. You will partner closely with Sales teams, gTech’s Support, Professional Services, Product Management, and Engineering teams to support advertiser success across the ecosystem. As leaders of the customer experience, you will advocate for big-picture visions, feature requests, and offering product improvements backed by data-driven insights.

Your work enables business teams to deliver delightful support and services to our customers.

As a Global Product Lead for Policy, you will partner closely with gTech Ads Support Services, LCS Sales, Product Management (PM) and Engineering to define and deliver the next-generation infrastructure tools that will power the Policy experience for customers, practitioners and sellers. You will be part of a fast-paced team that works cross-functionally to build, launch, and land new technology roadmap to improve the Policy experience across our internal and external platforms.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $178000 - $258000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google .

• Partner with gTech Ads, Product Management, Engineering, and Finance to translate customer needs and policy priorities into strategic technical roadmaps.
• Articulate prioritized requirements built on quantified business cases measuring Customer Satisfaction (CSAT), adoption, headcount savings, and revenue uplift to align product and technical teams.
• Build, audit, and govern agentic skills and platform tools while representing end-user needs and maintaining transparency around system capabilities.
• Analyze large datasets to…