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AI Practice Director, Google Cloud

Google

AI Practice Director, Google Cloud

Google

·

On-site

·

Full-time

·

2w ago

About the job

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.

Responsibilities

  • 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.

Minimum qualifications

  • 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.

Preferred qualifications

  • MBA or Master's degree in Computer Science.

  • Experience in the India enterprise and digital native market.

  • Experience working cross-functionally with sales, product, and engineering teams.

  • Experience working in a hyper-growth environment.

  • Strong track record in scaling a practice or business line.

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About Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

3.7

25 reviews

Work-life balance

3.8

Compensation

4.2

Culture

3.4

Career

3.9

Management

2.8

68%

Recommend to a friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

Cons

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

Salary Ranges

57,502 data points

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0 reports

$176,704

total per year

Base

-

Stock

-

Bonus

-

$150,298

$203,110

Interview experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer rate

44%

Experience

Positive 0%

Neutral 56%

Negative 44%

Interview process

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense