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트렌딩 기업

트렌딩 기업

채용

채용Google

Go-To-Market Lead, AI Infrastructure, TPU/GPU, ISV

Google

Go-To-Market Lead, AI Infrastructure, TPU/GPU, ISV

Google

·

On-site

·

Full-time

·

1w ago

About the job

In this role, you will drive accelerated business growth for Google Cloud through Tensor Processing Unit (TPU)/Graphics Processing Unit (GPU) ISV partnerships and customer engagements across the Google Cloud Platform (GCP) Go-To-Market (GTM) segments and verticals. Your leadership role will require collaboration with AI Infrastructure tech specialists and field business, capacity, product, engineering, and finance teams to develop and grow AI Infrastructure TPU/GPU partnerships and operate at the C-level internally and externally.

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.

The US base salary range for this full-time position is $176,000-$245,000 + 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 customer engagements across GCP’s GTM segments.

  • Drive GTM and business initiatives to accelerate growth for Google’s Cloud TPU/GPU business.

  • Develop and implement regional or industry-specific GTM strategies jointly with the AI Infrastructure team in cross-functional collaboration.

  • Build trusted relationships with the C-suite of GCP’s AI Infrastructure customers, collaborate on direction, and serve as a business partner.

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

Minimum qualifications

  • Bachelor's degree or equivalent practical experience.

  • 12 years of experience in enterprise technology/cloud sales, partner
    management and business development and strategy.

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

Preferred qualifications

  • MBA degree.

  • 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) or Infrastructure-as-a-Service (IaaS).

  • Experience working with ISVs.

  • Knowledge of AI natives with an understanding of the emerging generative AI industry tech stack.

  • Understanding of GCP’s AI infrastructure and agreement cycles.

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Google 소개

Google

Google

Public

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

10,001+

직원 수

Mountain View

본사 위치

$1,700B

기업 가치

리뷰

3.7

25개 리뷰

워라밸

3.8

보상

4.2

문화

3.4

커리어

3.9

경영진

2.8

68%

친구에게 추천

장점

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

단점

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

연봉 정보

57,502개 데이터

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0개 리포트

$176,704

총 연봉

기본급

-

주식

-

보너스

-

$150,298

$203,110

면접 경험

9개 면접

난이도

3.4

/ 5

소요 기간

14-28주

합격률

44%

경험

긍정 0%

보통 56%

부정 44%

면접 과정

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense