Google Workspace Customer Engineer, Mid-Market Enterprise, Google Cloud

Responsibilities

• Work on identifying and qualifying business opportunities, key customer technical objections, and developing strategy to resolve technical blockers.
• Share Google Workspace expertise to support the technical relationship with Google’s customers and partners, including product and solution briefings, proof-of-concept work, and the coordination and prioritization of solutions impacting customer adoption of Google Workspace. Take responsibility for the technical aspect of RFPs/RFIs.
• Architect solutions that leverage Google Workspace and Gemini Enterprise to automate complex, end-to-end customer workflows. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure needed to successfully implement a complete solution using best practices on Google Workspace.
• Educate partners and customers on leveraging agentic capabilities using Google Workspace and Gemini Enterprise including integrations with third-party data sources.
• Lead discussions that connect business goals to technical decisions.
• - Work on identifying and qualifying business opportunities, key customer technical objections, and developing strategy to resolve technical blockers. - Share Google Workspace expertise to support the technical relationship with Google’s customers and partners, including product and solution briefings, proof-of-concept work, and the coordination and prioritization of solutions impacting customer adoption of Google Workspace. Take responsibility for the technical aspect of RFPs/RFIs. - Architect solutions that leverage Google Workspace and Gemini Enterprise to automate complex, end-to-end customer workflows. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure needed to successfully implement a complete solution using best practices on Google Workspace. - Educate partners and customers on leveraging agentic capabilities using Google Workspace and Gemini Enterprise including integrations with third-party data sources. - Lead discussions that connect business goals to technical decisions.

Minimum qualifications:

Preferred qualifications:

Qualifications

• Minimum qualifications: - Bachelor's degree or equivalent practical experience. - 6 years of experience with cloud-native architecture in a customer-facing or support role. - Experience working on power applications and productivity software. - Experience presenting to technical stakeholders or executive leaders. - Ability to travel up to 50% of the time. Preferred qualifications: - Bachelor's degree in Computer Science, AI-related technical field, or equivalent practical experience. - Experience in technical cloud ecosystems on enterprise productivity solutions and with related solutions (e.g., Messaging, Productivity applications, Identity Management, Endpoint Management). - Experience in designing, building, or implementing agentic AI solutions to automate business processes. - Knowledge of Agentic AI platforms (including Gemini Enterprise), its features, engaged differentiation, and the integration of enterprise-wide data sources and third-party connectors.