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 grow our Gemini Enterprise for Customer Experience (GECX) business by building and expanding relationships with new and existing customers. You will build relationships with AI Sales Specialists, Cloud Field Sales Representatives, and Customer Engineers. 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 deliver value for Google Cloud business cycles, including a combination of expansion agreements. Additionally, you will work with product teams to help our customers build new products leveraging our AI.
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 $138,000-$200,000 + 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
- 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.
Qualifications
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, large language model (LLM), etc.) technology to clients.
- Experience engaging with, presenting to, and building relationships with executive leaders.
Preferred qualifications:
- Experience promoting the Customer Experience (CX), Generative AI, and AI technology stack.
- Experience working with cross-functional teams, including Product, Field Sales, Customer Engineering, and 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.