招聘

Go-to-Market Lead, AI Infrastructure, TPU/GPU, Financial Services, Google Cloud
·
On-site
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Full-time
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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) partnerships and customer engagements within the Financial Services industry across the Google Cloud Platform (GCP) Go-To-Market (GTM) segments and verticals. Your leadership role will require collaboration with field business, Artificial Intelligence (AI) Infrastructure tech specialists, capacity, product, engineering, and finance 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
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Drive and grow the AI infrastructure business for Google Cloud through new, expanded, or accelerated TPU/GPU partnerships and customer engagements across Google Cloud Platform’s (GCP’s) Go-to-Market (GTM) segments.
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Drive GTM and business initiatives to accelerate growth for Google’s TPU/GPU business.
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Develop and implement regional/industry specific GTM strategies jointly with the AI infrastructure team in a cross-functional collaboration.
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Build trusted relationships with the Chief-suite (C-suite) of google cloud platform’s (GCP’s) AI infrastructure customers, collaborate on the direction, and serve as a business partner.
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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
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Bachelor's degree or equivalent practical experience.
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12 years of experience in enterprise technology/cloud sales, partner management and business development and strategy.
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Experience leading agreements, requiring cross-functional coordination and c-suite management.
Preferred qualifications
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MBA degree.
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Experience working across multiple organizations to drive initiatives to resolution.
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Experience in business development, consulting or business in the technology industry, promoting Platform-as-a-Service (PaaS) or Infrastructure-as-a-Service (IaaS).
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Experience working within the financial services industry.
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Knowledge of AI natives with an understanding of the emerging generative-AI industry tech stack.
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Understanding of GCP’s AI infrastructure and agreement cycles.
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关于Google

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
3.7
25条评价
工作生活平衡
3.8
薪酬
4.2
企业文化
3.4
职业发展
3.9
管理层
2.8
68%
推荐给朋友
优点
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
缺点
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
薪资范围
57,502个数据点
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0份报告
$176,704
年薪总额
基本工资
-
股票
-
奖金
-
$150,298
$203,110
面试经验
9次面试
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
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