招聘
必备技能
Spark
Excel
As a Geo Hunter Account Executive in the Sports segment at Databricks, you are passionate about selling Data & AI to sports teams and organizations. You know how to compress decision cycles by penetrating accounts fast and demonstrating the value to the customer. You love understanding a product in-depth and are passionate about communicating its value to Customers. You will be over enterprise accounts, and will be responsible for closing new customers and growing consumption. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment.
The impact you will have:
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You will have a direct influence on the data strategy of the most innovative sports companies today
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You will communicate account strategy to Databricks Senior Leadership on a regular basis
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You will allocate Databricks resources to break into new accounts
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Meet with C-Level Executives to Practitioner level to understand how Databricks can make an impact on business outcomes
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Exceed activity, pipeline, and revenue targets
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You will use a creative, fail-fast approach to selling and creating value for customers
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You will build a plan for success internally at Databricks and externally with your accounts
What we look for:
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Passion for selling a highly technical product in the cloud
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4+ years of experience with Open Source Technologies and build vs buy decision-making
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4 - 6 years of experience with Value Selling Methodologies
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A creative salesperson with a well-defined prospecting motion
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Sales experience within big data, Cloud, or SaaS sales
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Proven years of experience exceeding sales quotas
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Success closing new accounts
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits:
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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关于Databricks

Databricks
Series IDatabricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.
6,000+
员工数
San Francisco
总部位置
$43B
企业估值
评价
3.8
10条评价
工作生活平衡
2.5
薪酬
4.0
企业文化
4.2
职业发展
3.5
管理层
4.0
72%
推荐给朋友
优点
Innovative technology and cutting-edge projects
Supportive and collaborative team environment
Good compensation and benefits
缺点
Long hours and heavy workload
Poor work-life balance
High pressure and stress
薪资范围
34个数据点
Junior/L3
Mid/L4
Junior/L3 · ENTERPRISE ACCOUNT EXECUTIVE
1份报告
$147,000
年薪总额
基本工资
$127,899
股票
-
奖金
-
$147,000
$147,000
面试经验
5次面试
难度
3.0
/ 5
时长
21-35周
体验
正面 0%
中性 80%
负面 20%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
Hiring Manager Interview
6
Onsite/Virtual Interviews
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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