Minimum qualifications:
- Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 6 years of experience in technical project management, stakeholder management, professional services, solution engineering, or technical consulting.
- Experience with Data/SQL and web technologies.
Preferred qualifications:
- Experience in Google Ads or other online advertising solutions and media/technical landscape.
- Experience in a customer-facing role translating technical concepts and solutions to non-technical and executive audiences.
- Experience working in technical products, cloud support, quality engineering, site reliability engineering.
- Experience in technical troubleshooting or customer support in a technical organization.
- Experience in developing strategic perspectives on customer-focused solutions.
- Experience in business analysis to conduct analytics, develop dashboards, and make recommendations.
About the job
Google creates products and services that make the world a better place, and gTech's role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.
To learn more about gTech, check out our .
Responsibilities
- Prioritize and deliver outstanding customer service throughout the customer journey, troubleshooting and resolving issues with Google's advertisers and Sales teams, agencies and partners.
- Learn AI powered Ads products like Performance Max (PMax) and Ads Platforms.
- Apply deep product expertise to solve complex technical customer issues and escalations and carry out strategic projects.
- Develop tools and automation for better diagnostics/data fixes and debugging, either separately or in partnership with Product Engineering teams.
- Improve product feature offerings by providing partner feedback to internal cross-functional teams, including Product Management, Engineering and Business Solutions teams. Analyze data and insights to create action plans to solve issues at the root cause for our customers focusing on knowledge management, operational improvements, account reviews and product adoption.
