About the job

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. 

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. 

Responsibilities

• Lead development and prototyping to build functional, customer-tailored solutions that secure technical buy-in from customer domain experts (such as CTOs, CISOs, and Lead Architects).
• Partner with Account teams, Platform CEs, and Outcome CEs to lead highly technical conversations regarding how to integrate advanced modern architectures into legacy ecosystems.
• Advocate for and build with Google Cloud’s Artificial Intelligence (AI) and Machine Learning portfolios, ensuring local teams have the technical depth to deliver AI solutions with less dependency on external specialist groups.
• Serve as a liaison between complex customer deployments and Google Cloud's Practice Go-to-Market (GTM), Product Management, and Engineering organizations to resolve product blockers and shape future features.