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SMB Customer Engineer, Agentic Workplace Transformation, Google Cloud
About the job
As a Small and Medium Business (SMB) Customer Engineer (CE), you will partner with technical Sales teams to differentiate Google Cloud to our customers. You will serve as the customer’s primary technical partner and trusted advisor, engaging in technical-led conversations to understand their business challenges. You will troubleshoot technical questions and roadblocks, engage in proofs of concepts and demos, and use your expertise to architect cross-pillar cloud solutions that solve these business challenges. You will guide the technical win and define the delivery and consumption plans. You will engage with technical and business leaders, and persuasively present practical and useful solutions on Google Cloud.
Additionally, you will focus on identifying, pursuing, and winning new business workloads. You'll have a breadth of technical expertise, spanning infrastructure modernization, application modernization, data analytics, and more. You will blend sales expertise, market knowledge and direct technical engagement to prove the value of the Google Cloud portfolio.
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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Work on identifying and qualifying business opportunities, key customer technical objections, and developing strategies to resolve technical blockers.
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Architect solutions that leverage Gemini Enterprise to automate complex, customer workflows.
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Guide the technical adoption of Gemini enterprise, including managing proof-of-concept work for pre-built and custom AI agents (no-code and code-based) built on the platform.
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Share Google Workspace expertise to support the technical relationship with Google’s customers and partners, including product and solution briefings, proof-of-concept work, and the coordination and prioritization of solutions impacting customer adoption of Google Workspace. Take responsibility for the technical aspect of Request for Proposals (RFPs)/Request for Informations (RFIs).
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Educate partners and customers on the power of Google Workspace and Gemini Enterprise, specifically leveraging agentic capabilities and third-party integrations to drive technical innovation, define product direction, and take new solutions to market.
Minimum qualifications
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Bachelor's degree in Computer Science, AI-related technical field, or equivalent practical experience.
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4 years of experience with cloud native architecture in a customer-facing or support role.
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Experience engaging with, or presenting to, technical stakeholders or executive leaders.
Preferred qualifications
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5 years of experience working on power applications and productivity software.
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Experience in designing, building, or implementing agentic AI solutions to automate business processes.
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Experience in technical cloud ecosystems on enterprise productivity solutions and with related solutions (e.g., messaging, productivity applications, identity management, endpoint management).
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Knowledge of Agentic AI platforms (including Gemini Enterprise), its features, engaged differentiation, and the integration of enterprise-wide data sources and third-party connectors.
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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
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
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