• Lead, grow, and upskill the AI practice within the Google Cloud Customer Engineering organization in India.

• Drive adoption and growth of cloud AI and applied AI products amongst our top clients.

• Partner with the field sales and customer engineering leadership to achieve our ambitious business objectives.

• Oversee and coordinate the activities of Cloud AI sellers, ensuring a unified approach to high-growth and digital native accounts.

• Serve as a key technical leader, leveraging deep understanding of AI to support sales and customer engagements.

As the Director for AI Practice in India, you will be the leader responsible for bringing experience and thought leadership to help set mission and strategy for our AI products and offerings in the subregion. In this role, you will be a part of the APAC AI Leadership team and work with strategic account teams and sales leadership to drive solution adoption by customers and activation of the broader community of AI specialists across India. You will combine the competencies of deal support, partner enablement, strategy consulting, agreement structuring, and AI experience. You will work with aligned sales resources and support cross-functional pursuit teams. In addition, a key responsibility will be to take product feedback from customers and the field teams to Engineering and get blockers removed or key features accelerated for our customers.

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.

• Bachelor's degree in Computer Science or equivalent practical experience.

• 15 years of experience in Infrastructure-as-a-Service (IaaS) or Platform-as-a-Service (PaaS) sales roles.

• 15 years of experience as a pre-sales leader or quota-carrying solution architect within the cloud ecosystem.

• 10 years of customer-facing experience running engagements with clients (e.g., consulting, project management, sales, implementation, or technical sales).

• Experience with cloud-native architectures and modern technology stacks that support business scaling.

• Experience with cloud, data, and AI technologies.