The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed 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 — 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 use technology to connect with customers, employees and partners.
As a Gemini Enterprise CX Sales Specialist, you will be responsible for growing our Gemini Enterprise for Customer Experience (GECX) business by building and expanding relationships with new and existing customers. You will effectively build relationships with both AI Sales Specialists (AISS), Cloud Field Sales Representatives (FSRs), Customer Engineers (CEs) as well as new and existing customers. You will develop relationships with external customer stakeholders, identifying ways to multiply your impact and the impact of the team as a whole. You will partner with internal Google Cloud sales teams to grow their Customer Experience (CX) businesses and drive overall value for Google Cloud business cycles, including a combination of expansion agreements, as well as working with product teams to help our customers build new products leveraging our AI.
It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $138000 - $200000 (USD) + 100% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Build and maintain executive relationships with customers as the Gemini Enterprise for customer experience subject matter expert, manage business cycles, identify suitable use cases for Google Cloud solutions, and influence the long-term direction of your accounts.
- Manage objectives and key results to deliver against quota and achieve or exceed business and growth goals while accurately forecasting and reporting the state of the business for your assigned territory.
- Work with Google accounts and cross-functional teams (e.g., Customer Engineering, Marketing, Customer Success, Product, Engineering, and Partner Ecosystem) to develop go-to-market strategies, drive pipeline, understand the customer, and provide excellence prospect and customer experience.
- Assist customers in identifying GECX and AI use cases suitable for Google Cloud AI products and solutions.
- Articulate key solution differentiators and the measurable business impact.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience in a sales role in the enterprise software, cloud, or AI space.
- Experience identifying AI use cases to solve customer issues or selling customer experience (e.g., digital, telephony, conversational AI, LLM, etc.) technology to clients.
- Experience working with, presenting to, and building relationships with executive leaders.
Preferred qualifications:
- Experience in, or supporting, healthcare and life sciences customers.
- Experience promoting the Customer Experience (CX), Generative AI and AI technology stack.
- Experience working with cross-functional teams, including Product, Field Sales, Customer Engineering, Solution Architects to build business cases for transformation and accompanying plans for implementation.
- Experience working with and managing partners in implementation projects, including global system integrators and packaged software vendors.
- Understanding of regional, local, and industry data privacy and security rules and regulations.
- Ability to engage and influence executive stakeholders as a business advisor and thought leader in AI.