Business Intelligence Sales Specialist III, Google Cloud

As a Business Intelligence (BI) Sales Specialist, you will help us grow our BI 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. You will lead day-to-day relationships with cross-functional team members (e.g. Data Analytics Sales Specialists, Field Sales, Customer Engineering) 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $138000 - $201000 (USD) + 100% bonus target + equity + benefits, * Build relationships with customers as a subject matter expert and trusted advisor, managing complex business cycles, identifying solution use cases, and influencing the 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, including a broader enterprise plan across key industries, focus on building accounts.
• 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.

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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain., * Bachelor’s degree or equivalent practical experience.

• 10 years of experience in a sales role in the enterprise software or cloud space.
• Experience selling business intelligence technologies to clients.

Preferred qualifications:

• Experience carrying and exceeding strategic business goals in a sales role.
• Experience supporting the executive relationships, and developing territories/accounts, while ensuring customer success, adoption and expansion.
• Experience prioritizing, planning, and organizing business activity within complex business cycles, including qualifying accounts and leveraging partner ecosystems.
• Experience working with internal/external teams to inventory existing software estate, build cases for transformation with implementation plans, and close agreements.
• Knowledge of trends, products, and solutions (including practical experience) in Cloud, BI, and Data and Analytics (BI frontend, data analytics middleware, backend data warehouse technologies, BigQuery, Looker, Dataproc, Pub/Sub).