AI and Knowledge Strategist, gTech Ads
Google, Boulder, CO, United States
The application window will be open until at least May 06, 2026. This opportunity will remain online based on business needs which may be earlier or later than the specified date.
By applying to this position you will have an opportunity to share your preferred working location from the following: Boulder, CO, USA; Chicago, IL, USA.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
3 years of experience troubleshooting technical issues for internal or external partners or customers.
Experience in either system design or reading code (e.g., Java, C++, Python).
Preferred qualifications
Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field.
5 years of experience managing projects and working with analytics, software coding, or customer-side web technologies.
5 years of experience with data analysis and SQL/MySQL.
5 years of experience in a customer-facing role.
5 years of experience in operations management (i.e., process improvement, operational reviews, optimizing workflows, etc.).
Understanding of AI-powered content strategy tools and technologies.
About the job
gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self‑help and in‑product support to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers’ business and marketing needs. We also provide complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product, and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience.
Responsibilities
Guide content strategy and solution design that scales across multiple product areas to drive self‑sufficiency and reduce support cases.
Collaborate with stakeholders to define and scale content infrastructure, including AI‑powered tools for creation, optimization, and personalization.
Develop tools, operational processes, and training materials to integrate content solutions into business‑as‑usual (BAU) workflows that scale across the organization.
Establish content quality standards and implement processes to validate the accuracy of data used to train AI models globally.
Analyze insights across all support surfaces to report on global trends and monitor industry best practices to improve overall team strategies.
The U.S. base salary range for this full‑time position is $126,000–$181,000 plus bonus, equity, and 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.
Google is proud to be an equal‑opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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By applying to this position you will have an opportunity to share your preferred working location from the following: Boulder, CO, USA; Chicago, IL, USA.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
3 years of experience troubleshooting technical issues for internal or external partners or customers.
Experience in either system design or reading code (e.g., Java, C++, Python).
Preferred qualifications
Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field.
5 years of experience managing projects and working with analytics, software coding, or customer-side web technologies.
5 years of experience with data analysis and SQL/MySQL.
5 years of experience in a customer-facing role.
5 years of experience in operations management (i.e., process improvement, operational reviews, optimizing workflows, etc.).
Understanding of AI-powered content strategy tools and technologies.
About the job
gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self‑help and in‑product support to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers’ business and marketing needs. We also provide complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product, and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience.
Responsibilities
Guide content strategy and solution design that scales across multiple product areas to drive self‑sufficiency and reduce support cases.
Collaborate with stakeholders to define and scale content infrastructure, including AI‑powered tools for creation, optimization, and personalization.
Develop tools, operational processes, and training materials to integrate content solutions into business‑as‑usual (BAU) workflows that scale across the organization.
Establish content quality standards and implement processes to validate the accuracy of data used to train AI models globally.
Analyze insights across all support surfaces to report on global trends and monitor industry best practices to improve overall team strategies.
The U.S. base salary range for this full‑time position is $126,000–$181,000 plus bonus, equity, and 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.
Google is proud to be an equal‑opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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