채용
복지 및 혜택
•Equity
•Unlimited Pto
•Healthcare
필수 스킬
Salesforce
Gong
HubSpot
SLSQ127R33
As part of our accelerating APJ growth, Databricks is looking for a dynamic Enterprise Account Executive to join the founding team. This is an exciting Sales role that will make an important impact on the revenue and expansion of our business in Korea. You will report to the Director of Sales, Korea.
The impact you will have:
-
Evangelize Databricks' Unified Analytics Platform powered by Spark and launch the Databricks brand in Enterprise/Strategic Accounts across all industries
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Prospect, identify and source new sales opportunities, building pipeline individually and/or with the Databricks SDR team
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Engage with business and technical decision makers and lead them through the evaluation and buying process
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Exceed individual activity, pipeline and annual revenue targets
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Engage with and drive business through local partners (technology partners, ISVs, SIs and GSIs)
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Drive customer success and upsell in existing customers
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Create a Territory Strategy
What we look for:
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Proven success in Enterprise/Strategic Sales roles, ideally in Big Data, Cloud, or SaaS technology
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Demonstrable experience of selling innovation, ideally in Big Data, Cloud, or SaaS technology
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Solution and business-outcomes focused sales approach (Command of the Message, MEDDPIC, Challenger Sale)
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Ability to simply articulate intricate cloud & big data technologies and their business value for the customer
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Proven success and upward trajectory in whatever you have done
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Bachelors Degree and 5+ years of experience selling Saa
S solutions to Enterprise Customers:
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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비슷한 채용공고
Databricks 소개

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+
직원 수
San Francisco
본사 위치
$43B
기업 가치
리뷰
3.8
10개 리뷰
워라밸
2.8
보상
4.0
문화
4.2
커리어
3.5
경영진
4.0
72%
친구에게 추천
장점
Innovative technology and cutting-edge projects
Supportive and collaborative team environment
Good benefits and competitive compensation
단점
Poor work-life balance and long hours
High pressure and stressful environment
Heavy workload and overtime requirements
연봉 정보
34개 데이터
Mid/L4
Senior/L5
Mid/L4 · Corporate Development Manager
1개 리포트
$171,004
총 연봉
기본급
$148,699
주식
-
보너스
-
$171,004
$171,004
면접 경험
6개 면접
난이도
3.2
/ 5
소요 기간
21-35주
경험
긍정 0%
보통 83%
부정 17%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
Onsite/Virtual Interviews
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
뉴스 & 버즈
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4d ago
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·
5d ago




