Data Analytics and AI Sales Specialist, Google Cloud

Data Analytics and AI Sales Specialist, Google Cloud

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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.
• Ability to communicate in French fluently to best support local leaders and external stakeholders.

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 prioritizing, planning, and organizing solution-based sales activity within complex business cycles, including qualifying accounts and leveraging our partner ecosystem.
• Experience working cross-functionally (including account teams, technical leads, procurement, and legal) to inventory existing software estate, build business cases for transformation with implementation plans, and close agreements.
• Knowledge of market trends, products, and solutions (including foundational technical understanding) of Cloud and AI.

About the job

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.

Responsibilities

• Calibrate business against the objectives and key results, forecast and report the state of the business for the assigned territory.
• Build and maintain executive relationships with customers as the data analytics subject matter expert, influencing long-term strategic direction.
• Develop and execute strategic account plans, including a broader enterprise plan across key industries. Focus on building accounts.
• Assist customers in identifying use cases suitable for Google Cloud Data and Analytics solutions, articulating key solution differentiation and measurable business impacts.
• Work with Google account and technical teams to develop and drive pipelines, and provide expertise. Develop Go-to-Market (GTM) efforts with Google Cloud Platform partners.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Key skills/competency

• AI Sales
• Data Analytics Solutions
• Google Cloud Platform
• Enterprise Software Sales
• Executive Relationship Management
• Strategic Account Planning
• Go-to-Market Strategy
• Pipeline Development
• Cross-functional Collaboration
• Business Value Articulation