Jobs
Benefits & Perks
•President's Club recognition
•Uncapped earning potential
•Competitive base salary plus commission
•Generous PTO
•Team incentive trips
•Stock options
•Unlimited Pto
•Equity
Required Skills
Outreach
LinkedIn Sales Navigator
Gong
As we continue to increase our presence in the world of Unified Data Analytics and AI, we're looking for a creative, driven, and execution-oriented Enterprise Account Executive to sell and maximize the huge market opportunity that exists for Databricks today. As an Enterprise Account Executive reporting to the Regional Sales Director, you will have experience selling in the Enterprise segment. Your informed point of view on Big Data and Advanced Analytics will guide your successful sales strategy together with our teams and partners, allowing you to provide value to our biggest and most valued customers.
The impact you will have:- Evangelize Databricks' Unified Analytics Platform powered by Spark and launch the Databricks
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brand in Enterprise Accounts across all industries
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Prospect, identify and source new sales opportunities, building pipeline individually and with the
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Databricks SDR team
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Engage with business and technical decision-makers and lead them through the evaluation and
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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 existing customers
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Create a Territory Strategy focused on Vietnam across all industries
What we look for:- 5+ years of experience selling SaaS solutions to Enterprise and/or Digital Native Customers in Indonesia
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Proven success in Enterprise Sales roles, ideally in big data, Cloud, or SaaS technology
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Demonstrable experience in 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,
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Challenger Sale)
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Ability to simply articulate intricate cloud & big data technologies and their business value for the customer
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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About 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+
Employees
San Francisco
Headquarters
$43B
Valuation
Reviews
4.2
9 reviews
Work Life Balance
3.5
Compensation
4.7
Culture
4.3
Career
4.5
Management
4.0
86%
Recommend to a Friend
Pros
Working on industry-leading data and AI platform
Excellent compensation with high equity upside
Strong engineering culture with Apache Spark creators
Cons
High intensity work environment with demanding deadlines
Work-life balance can suffer during key releases
Growing pains as company scales rapidly
Salary Ranges
25 data points
Mid/L4
Senior/L5
Mid/L4 · Corporate Development Manager
1 reports
$171,004
total / year
Base
$148,699
Stock
-
Bonus
-
$171,004
$171,004
Interview Experience
9 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Offer Rate
22%
Experience
Positive 22%
Neutral 67%
Negative 11%
Interview Process
1
Application Review
2
Recruiter/Phone Screen
3
Technical Interview/Coding Round
4
System Design Interview
5
Behavioral Interview
6
Final Round/Hiring Manager Interview
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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