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AI Sales Specialist, Google Cloud (Mandarin)
福利待遇
•无限假期
•医疗保险
•股权
必备技能
Apache Spark
SQL
PyTorch
About the job
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a AI Sales Specialist, you will lead the enterprise transition from AI exploration to strategic production. You will sit at the intersection of technical depth and commercial strategy, helping customers navigate the journey from initial pilots to scalable systems that generate measurable Return on Investment (ROI).
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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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Guide customers through the pilot-to-production journey. Distinguish between model APIs and full platform value, and drive scalable decisions.
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Shift conversations to business cases. Model and platform Total Cost of Ownership (TCO), explain inference cost scaling, and articulate the ROI of build vs buy decisions.
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Navigate the value patterns such as business generation (e.g., customer experience), efficiency (e.g., automation), and decision augmentation (e.g., insight).
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Position AI agents within the context of the industry. Explain how data proximity, governance, and operational coherence (e.g., MLOps) on Vertex AI create a engaged advantage.
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Leverage a team of Field Sales Representative (FSR) and Customer Engineers, and activate partners to scale industry-specific plays and accelerate implementation. Assess agreement maturity. Commit to defendable numbers based on technical reality and executive sponsorship.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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10 years of experience in enterprise technology sale.
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3 years of experience in cloud, data, analytics, or AI/ML.
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Ability to communicate in Mandarin fluently to engage and support Mandarin speaking customers to navigate industry standards.
Preferred qualifications
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Experience selling Large Language Models (LLMs), agents, or generative technologies.
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Experience in the regulatory and operational data challenges of specific industries (e.g., FSI, Retail, Telco, Manufacturing).
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Experience working at a cloud provider, system integrator, or AI-native firm.
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Ability to build business cases involving complex consumption economics.
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Ability to explain AI agents, RAG (Retrieval-Augmented Generation), fine-tuning, vector search, and inference scaling and why they matter to business audiences.
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Track record of territory planning, stakeholder mapping, and executing complex, multi-stage 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
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
Junior/L3
Mid/L4
Junior/L3 · Account Manager
955份报告
$235,140
年薪总额
基本工资
$138,750
股票
$55,227
奖金
$41,164
$148,728
$383,799
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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