About the job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

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 delivery and consumption plans. You will engage with technical and business leaders, and persuasively present practical and useful solutions on Google Cloud. You will focus on identifying, pursuing, and winning new business workloads.

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.

The US base salary range for this full-time position is $105,000-$151,000 + bonus + equity + 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.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• 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. Take responsibility for the technical aspect of RFPs/RFIs.

• 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.

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 engaging with, or presenting to, technical stakeholders or executive leaders.

• Ability to travel up to 25% of the time.

Preferred qualifications

• 5 years of experience working on power applications and productivity software.

• Experience in designing, building, or implementing agentic AI solutions to automate business processes.

• Experience in technical cloud ecosystems on enterprise productivity solutions and with related solutions (e.g., messaging, productivity applications, identity management, endpoint management).

• Demonstrated knowledge of agentic AI platforms (including Gemini Enterprise), its features, competitive differentiation, and the integration of enterprise-wide data sources and third-party connectors.