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Google Cloud team helps customers transform and build what's next for their business, all with technology built in the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers—like developers, small and large businesses, educational institutions, and government agencies—see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes using technology to connect with customers, employees, and partners. As a Generative Artificial Intelligence (gen AI) Specialist, you will work with Product Development and Technical Sales teams as a gen AI subject matter expert to bring Google Cloud AI products to customers and partners. In this role, you will help prospective customers and partners understand the power of Google AI, explaining technical features, helping customers design architectures, build AI-powered applications, and problem-solving any potential roadblocks. You will also have the opportunity to help customers leverage Google Cloud’s gen AI services, including large language models and specialized Machine Learning (ML) hardware developed by Google, called Tensor Processing Unit.
Responsibilities
- Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
- Provide AI expertise to support the technical relationship with Google Cloud's customers, manage product and solution briefings, create demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
- Recommend integration strategies, enterprise architectures, platforms, and application infrastructure.
- Support developers, creators, and enterprises to leverage APIs so they can build their own AI products in the future.
- Travel to customer sites, conferences, and other related events as needed.
