채용
SLSQ427R18
Geo Core Account Executive
Portugal Market Location:
Madrid, Spain
Do you want to help solve the world’s toughest problems with Data and AI? That’s what we do every day at Databricks.
The Role:
Databricks is looking for a creative, execution-oriented Geo Core Account Executive to join our team in Madrid, focusing on the Portuguese market. Reporting to our Director of Enterprise Sales, you will manage and grow a select group of enterprise-class clients. You will identify new use cases and secure new business to expand Databricks' footprint within your portfolio.
The impact you will have:
- Identify new business opportunities and scale consumption use cases within your key account portfolio.
- Assess your key accounts and develop a strategy to meet and exceed revenue and consumption goals.
- Build positive relationships with key decision makers (C-level) and establish yourself as a trusted advisor for Data & AI-related subjects.
- Coordinate internal teams and Portuguese integration partners to maximize impact on the local ecosystem.
- Showcase exceptional value during engagements to guide complex negotiations to a successful close.
What we look for:
- Successful track record of meeting and exceeding sales quotas and KPIs.
- Experience selling to large enterprise-class customers (Financial Services or Mixed Industries).
- Proven experience selling data and AI/Big Data/complex cloud solutions.
- Experience of following robust sales methodologies (e.g., MEDDPICC, Value Selling).
- Based in Madrid with availability for frequent travel.
- Demonstrable experience working with integration partners in Portugal.
- Native Portuguese, high level of English, and fluent Spanish are essential.
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 click here.
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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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
2.5
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 compensation and benefits
단점
Long hours and heavy workload
Poor work-life balance
High pressure and stress
연봉 정보
34개 데이터
Junior/L3
Mid/L4
Junior/L3 · ENTERPRISE ACCOUNT EXECUTIVE
1개 리포트
$147,000
총 연봉
기본급
$127,899
주식
-
보너스
-
$147,000
$147,000
면접 경험
5개 면접
난이도
3.0
/ 5
소요 기간
21-35주
경험
긍정 0%
보통 80%
부정 20%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
Hiring Manager Interview
6
Onsite/Virtual Interviews
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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