招聘
About the job
The Google Cloud Consulting (GCC) team is evolving to meet the demands of enterprise AI transformation. As a Consulting Account Lead (CAL), you will be the single point of accountability for shaping, orchestrating, and delivering our most strategic customers' transformation journeys, with a heavy focus on AI-driven transformation. You will act as the senior trusted advisor to C-suite executives, defining the "how" behind their most ambitious goals and ensuring they realize tangible business value from their investment in Google Cloud and Gemini.
You will own the customer's change journey, from architecting the services strategy early in the sales cycle to establishing governance and acting as the unifying thread across complex delivery programs involving the customer, partners, and internal Google teams. You are the definitive post-sales transformation and Customer Experience (CEx) leader on the account.
In this role, you will be expected to be at the customer site approximately 50% of the time.
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
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Act as a lead transformation advisor for C-suite and VP level and stakeholders, delivering industry-specific points of view on how Google Cloud and Gemini drive measurable business value, engaged differentiation, and return on investment.
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Own end-to-end services strategy incorporating AI, shaping and guiding customer's transformation journey by creating roadmaps, proposals, and delivery plans linked to business objectives and constraints.
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Manage cloud delivery programs, ensuring successful execution across customer, partners, and Google Cloud Consulting, while proactively identifying and mitigating transformation risks.
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Be a change agent focused on navigating organizational complexities to ensure the successful adoption of the platform, including owning the plan to activate and drive usage of Gemini and AI Solutions, communicating progress toward realized value.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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10 years of experience in a customer-facing role in management consulting, enterprise technology transformation, or customer success.
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Experience in leading technology or digital transformation programs for enterprise organizations.
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Experience building and maintaining relationships with C-suite or VP-level executives.
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Experience supporting public sector clients.
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Experience driving AI transformations in organizations.
Preferred qualifications
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Master's degree in a Management, Technical, or Engineering field.
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Experience orchestrating large, multi-workstream programs involving customers, partners, and internal teams in a matrixed organization.
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Experience building business cases and articulating the ROI of technology investments to executive stakeholders.
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Knowledge of the Google Cloud ecosystem.
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Familiarity with the enterprise AI/ML landscape and enterprise agentic transformation.
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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
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L6
L7
L8
Mid/L4
Principal/L7
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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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