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Google Sales Engineer

KPMG
FULL_TIME Remote ยท US Austin, TX, US Posted: 2026-05-11 Until: 2026-06-10
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Job Description
KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we do not anticipate that slowing down. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Google Sales Engineer to join our Alliances organization. Responsibilities: Embed our cutting-edge technology into the client's journey from the very beginning, building a strong pipeline of opportunities for cloud-enabled digital transformation Develop and present captivating demonstrations of generative AI solutions on Google Cloud, including groundbreaking products like Vertex AI, Veo, and Gemini; illustrate how these powerful generative AI models can revolutionize client operations, spark innovation, and create immense business value Act as the mastermind behind our proposals, crafting detailed and persuasive responses to RFPs that are centered around AI and data integration; leverage your deep knowledge of Google Cloud's Data stack-including BigQuery, Dataproc, Dataflow, and Looker-to design solutions that seamlessly blend generative AI with the broader data ecosystem Serve as a trusted advisor to engage directly with senior technology leaders, such as Chief Data Officers and IT Directors, at our client organizations; understanding their ambitions and techn