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Research and Social Impact Go-To-Market Lead, AI Infrastructure and HPC, Google Public Sector

Google

Research and Social Impact Go-To-Market Lead, AI Infrastructure and HPC, Google Public Sector

Google

·

On-site

·

Full-time

·

2w ago

About the job

In this role, you will drive social impact and business growth for Google Public Sector through Artificial Intelligence (AI) Infrastructure partnerships and customer engagements across Google Public Sector's State, research, and non-profit Go-To-Market segments and verticals. Your leadership role will require collaboration with field business, AI Infrastructure technical specialists, capacity, product, engineering, and finance to develop and grow long-term AI Infrastructure Tensor Processing Unit (TPU) partnerships and operate at the C-level internally and externally.Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.

The US base salary range for this full-time position is $138,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Drive and grow the AI infrastructure business for Google Cloud through new, expanded, or accelerated Tensor Processing Unit/Graphics Processing Unit partnerships and customer engagements across Google Public Sector's research and non-profit customers.

  • Drive Go-to-Market and commercial initiatives to accelerate short and long-term growth for Google’s AI Infrastructure business.

  • Develop and implement regional/industry specific Go-to-Market strategies jointly with the broader AI infrastructure team in a cross-functional collaboration.

  • Build trusted relationships with the Chief-suite of Google Public Sector's AI customers, collaborate on direction, and serve as a business partner.

  • Serve as a thought leader and advisor to Google Cloud’s executive management and represent Google Public Sector externally in industry, customer, and partner events.

Minimum qualifications

  • Bachelor's degree or equivalent practical experience.

  • 10 years of experience in enterprise technology and cloud/hybrid/hardware sales.

  • Experience in AI infrastructure sales to R1 universities, research institutes, non-profits, or state governments.

  • Experience leading agreements, requiring cross-functional coordination and C-suite management.

Preferred qualifications

  • MBA degree or equivalent practical experience.

  • Experience working across multiple organizations to drive initiatives to resolution.

  • Experience in business development, consulting or business in the technology industry, promoting Platform-as-a-Service (PaaS), Infrastructure-as-a-Service (IaaS), or accelerated compute hardware sales.

  • Experience operating in a changing work environment, along with excellent communication skills.

  • Understanding of GCP’s AI Infrastructure offerings, engaged advantages, and market dynamics.

  • Knowledge of AI Natives with an understanding of the emerging Generative-AI industry tech stack.

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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