招聘

AI Sales Specialist, Google Cloud, Sub Saharan Africa
placeJohannesburg, South Africa
·
On-site
·
Full-time
·
2mo ago
福利待遇
•Equity
•Healthcare
•Parental Leave
•Remote Work
•Unlimited Pto
必备技能
Airflow
TensorFlow
SQL
About the job
As an AI Sales Specialist, you will be responsible for building and expanding relationships with new and existing customers. You will develop relationships with external customer stakeholders, identifying innovative ways to multiply the impact of the team. You will partner with internal Google Cloud Platform (GCP) sales teams to assist with business growth.
It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to Deep Mind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.
Responsibilities
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Build relationships with customers as a subject matter expert and trusted advisor, managing complex business cycles, identifying solution use cases, and influencing long-term strategic direction of accounts.
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Deliver against quota and achieve or exceed strategic business and growth goals while forecasting and reporting your assigned territory’s business.
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Work with Google accounts and cross-functional teams (e.g., Customer Engineering, Marketing, Customer Success, Product, Engineering, Channels) to develop go-to-market strategies, drive pipeline and business growth, close agreements, understand the perspective of the customer, and provide excellent prospect and customer experience.
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Develop and execute strategic account plans informed by our responsible AI framework across an assigned territory or market.
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Work with multiple customers and opportunities simultaneously, understanding each customer’s technology footprint and strategy, growth plans, business drivers, competitors, and how they can transform their business using our technologies.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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10 years of experience in a sales role in the enterprise software, cloud, or AI space.
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Experience in partnering with technical staff to build business cases and implementation plans.
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Experience in business development, sales, or account management guiding customer adoption of solutions and delivering business growth in AI or a related technology field.
Preferred qualifications
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Experience in promoting the AI technology stack.
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Experience working with and managing partners in complex implementation projects including global system integrators and packaged software vendors.
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Experience working with product teams and an understanding of how to embed our technology into their product set.
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Ability to connect AI/ML with business value and engage executive stakeholders as an advisor and thought leader.
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Ability to drive business growth across a broad set of industry-specific AI/ML use cases.
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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
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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