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Google
Google

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Federal Go-To-Market Lead, AI Infrastructure, Google Public Sector

职能业务拓展/BD
级别Lead级
方式现场办公
类型全职
发布1个月前
立即申请

About the job

In this role, you will drive exponential business growth for Google Public Sector through AI Infrastructure partnerships and customer engagements across Google Public Sector's Federal Go-To-Market (GTM) segments and verticals. Your leadership will require collaboration with field business, AI Infrastructure technical specialists, capacity, product, engineering, and finance to develop and grow long-term AI Infrastructure TPU partnerships and to operate at the C-level both 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 Infra business for Google Cloud through new, expanded, or accelerated TPU/GPU partnerships and strategic customer engagements across Google Public Sector's Federal 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 C-suite of Google Public Sector's most strategic AI Infrastructure customers, collaborate on long-term strategic direction, and serve as a business partner.

  • Serve as 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 with the US Federal Government.

Preferred qualifications

  • MBA degree.

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

  • 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 working across multiple organizations to drive initiatives to resolution.

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

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

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关于Google

Google

Google

Public

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

10,001+

员工数

Mountain View

总部位置

$1,700B

企业估值

评价

10条评价

4.5

10条评价

工作生活平衡

3.2

薪酬

4.3

企业文化

4.1

职业发展

4.2

管理层

3.8

82%

推荐率

优点

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

缺点

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

薪资范围

57,503个数据点

Mid/L4

Mid/L4 · Accessibility Analyst

1份报告

$214,500

年薪总额

基本工资

$165,000

股票

-

奖金

-

$214,500

$214,500

面试评价

9条评价

难度

3.4

/ 5

时长

14-28周

录用率

44%

体验

正面 0%

中性 56%

负面 44%

面试流程

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense