채용
Required Skills
Spark
Excel
Req ID: SLSQ227R369
RVP, Enterprise (Gaming) for North America
We are looking for a strategic Regional Vice President to join our new gaming industry team in North America. You will lead an agile team of Directors and their Enterprise Account Executives, who will be measured by achieving your team’s overall quota, new logo acquisition, and growing Databricks usage within strategic gaming customers. This is a team that is passionate about building a data ecosystem within the gaming industry and has a desire to help customers and partners succeed. You will report to the Vice President of Communications, Media, Entertainment, and Gaming.
What we do:
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Build and lead a team of talented Directors and their Enterprise Account Executives to increase growth in strategic and emerging markets within the gaming industry.
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Inspire a culture of teamwork, leading with value, and achieving desired customer outcomes
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Develop trust-based relationships with customers and partners to ensure North American long-term success
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Encourage learning and ongoing understanding of technical product details and our future product roadmap
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Lead our North American Enterprise growth plans, ensure forecast accuracy and a predictable, high-growth business
What we look for:
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You have the desire to build a collaborative, inspired team culture
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You live our core values: customer obsession, teamwork makes the dream work, own it, and let the data decide!
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Experience building a high-growth sales team serving enterprise customers within North America within the big data, Cloud, or Saa
S Sales Industry:
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History of exceeding sales quotas in similar high-growth Enterprise software companies
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Understanding of value selling and structured methodologies e.g. MEDDPICC, Challenger, Command of Message
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Knowledge of developing the partner ecosystem to help grow strategic enterprise territories
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Success in implementing strategies for usage and booking-based sales revenue models
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
Mid/L4 · Enterprise Account Executive
1 reports
$147,084
total / year
Base
$127,899
Stock
-
Bonus
-
$147,084
$147,084
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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