Job description

As a Platform Customer Engineer (CE), you will partner with technical Sales teams to differentiate Google Cloud to our customers. You will serve as the customer’s primary technical partner and trusted advisor, engaging in technical-led conversations to understand their business challenges. You will troubleshoot technical questions and roadblocks, engage in proofs of concepts and demos, and use your expertise to architect cross-pillar cloud solutions that solve these business challenges. You will drive the technical win and define the delivery and consumption plans. You will use your strategic acumen and presentation skills to engage with technical and business leaders, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills. In this role, you will focus on identifying, pursuing, and winning new business workloads and driving penetration within existing ones. You will have a breadth of technical expertise, spanning infrastructure modernization, application modernization, data analytics and more. You will blend sales expertise, market knowledge and direct technical engagement to prove the value of the Google Cloud portfolio. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $104000 - $150000 (USD) + 42.86% bonus target + equity + benefits Learn more about benefits at Google . • Work on identifying and qualifying business opportunities, key customer technical objections, and developing strategy to resolve technical blockers. • Architect solutions that leverage Gemini Enterprise to automate complex, end-to-end customer workflows. • Drive the technical adoption of Gemini Enterprise, including managing proof-of-concept work for pre-built and custom AI agents (no-code and code-based) built on the platform. • 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. • Educate partners and customers on the power of Google Workspace and Gemini Enterprise - specifically leveraging agentic capabilities and third-party integrations - to drive technical innovation, define product direction, and successfully take new solutions to market. • Bachelor's degree or equivalent practical experience. • 4 years of experience with cloud native architecture in a customer-facing or support role. • Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms. • Experience engaging with, or presenting to, technical stakeholders or executive leaders. • Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops. Minimum qualifications: • Bachelor's degree or equivalent practical experience. • 4 years of experience with cloud native architecture in a customer-facing or support role. • Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms. • Experience engaging with, or presenting to, technical stakeholders or executive leaders. • Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops. Preferred qualifications: • 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, competitive differentiation, and the integration of enterprise-wide data sources and third-party connectors.

Requirements

Must-haves

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
Work on identifying and qualifying business opportunities, key customer technical objections, and developing strategy to resolve technical blockers.
Architect solutions that leverage Gemini Enterprise to automate complex, end-to-end customer workflows.
Drive the technical adoption of Gemini Enterprise, including managing proof-of-concept work for pre-built and custom AI agents (no-code and code-based) built on the platform.
Bachelor's degree or equivalent practical experience.
4 years of experience with cloud native architecture in a customer-facing or support role.
Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.
Experience engaging with, or presenting to, technical stakeholders or executive leaders.
Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops.
Bachelor's degree or equivalent practical experience.
4 years of experience with cloud native architecture in a customer-facing or support role.
Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.
Experience engaging with, or presenting to, technical stakeholders or executive leaders.
Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops.

Nice-to-haves

US: $104000 - $150000 (USD) + 42.86% bonus target + equity + benefits
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, competitive differentiation, and the integration of enterprise-wide data sources and third-party connectors.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

Platform: google
Effort: medium