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Artificial Intelligence Business Growth Manager

2 months ago


Seattle, Washington, United States Google Full time

About the Role:

In this exciting position, you will be responsible for driving the growth of Google Cloud's Artificial Intelligence (AI) business by building and leading a high-performing team focused on deploying AI Customer Experience solutions.

Key Responsibilities:

  • Develop and advance business pipelines, Contact Center AI (CCAI) bookings, and business growth strategies.
  • Oversee the creation of strategic account plans, including a broader enterprise plan across key verticals.
  • Develop and manage talent to build scale and influence long-term strategic direction for new and existing customers.
  • Create alignment across multiple functions, including Marketing, Customer Engineer Managers, Partners, Field Solutions Architects, and AI Product Engineers.
  • Own relationships with customers and manage teams focused on executive engagements, coupled with scale and growth opportunities.
  • Support sellers in building and maintaining executive relationships with customers, as well as assist customers in identifying AI use cases suitable for Google Cloud AI products and solutions.

About 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.

Compensation and Benefits:

The US base salary range for this full-time position is $163,000-$232,000 + 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 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.