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In-office locations: New York, NY, USA; Austin, TX, USA; Cambridge, MA, USA; Addison, TX, USA.
Remote location(s): Minnesota, USA; Tennessee, USA; Wisconsin, USA. Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience in a sales role in the enterprise software, cloud space, or AI space.
- Experience identifying AI use cases to solve customer challenges or selling AI technology to clients.
- Experience in the healthcare or life sciences industry.
Preferred qualifications:
- Experience carrying and exceeding strategic business goals in a sales role.
- Experience supporting long-term executive relationships, and developing new territories/accounts while ensuring customer success, adoption, and expansion.
- Experience working with internal/external teams, account teams, technical leads, procurement and legal, to inventory existing software estate, build business cases for transformation with implementation plans, and close agreements.
- Experience prioritizing, planning, organizing solution-based sales activity within complex business cycles, including qualifying high value accounts and leveraging our partner ecosystem.
- Knowledge of market trends, products, and solutions of Cloud and AI.
- Strong negotiation, problem-solving, communication, presentation, and active listening skills.
As an Artificial Intelligence (AI) Sales Specialist, you will help us grow our AI business by building and expanding relationships with new and existing customers. In this role, you will work with customers to deliver true business value, demonstrate product functionality, and provide a comprehensive overview of key business use cases. Business cycles will include a combination of productivity use cases, as well as working with product teams to help our customers build new products leveraging our AI solutions. You will lead day-to-day relationships with cross-functional team members and external customers, leading with empathy, while identifying innovative ways to multiply your impact and the impact of the team as a whole to drive overall value for Google Cloud.
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 $129,000-$194,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. 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.
- Build relationships with customers as a subject matter expert and trusted advisor, managing complex business cycles, identifying solution use cases, and influencing long-term strategic direction of accounts.
- Deliver against quota and achieve or exceed strategic business and growth goals while forecasting and reporting your territory’s business.
- Work with Google accounts and cross-functional teams (e.g., Customer Engineering, Marketing, Customer Success, Product, Engineering, Channels) to develop go-to-market strategies, drive pipeline and business growth, close agreements, understand the customer, and provide excellent prospect and customer experience.
- Develop and execute strategic account plans informed by our responsible AI framework across an assigned territory or market.
- Work with multiple customers and opportunities simultaneously, understanding each customer’s technology footprint and strategy, growth plans, business drivers, competitors, and how they can transform their business using our technologies.
Build for everyone Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university... Read more