Jobs
Benefits & Perks
•Uncapped earning potential
•Base salary plus commission
•President's Club
•Stock options
•Generous PTO
•Equity
•Unlimited Pto
Required Skills
HubSpot
Salesforce
Zoom
At Databricks, we empower organizations to make better decisions with data and AI. As a Start-Up Account Executive, you’ll partner with some of the most innovative and disruptive start-ups in Japan - helping them unlock the full potential of their data to scale faster and smarter.
You are a creative and self-driven sales professional who thrives in fast-paced environments. You know how to balance transactional velocity with strategic depth - driving both quick wins and long-term growth. You excel at selling innovation and guiding customers through change by expanding their vision of what’s possible with Databricks.
You will report to Sr Manager, Sales in Japan.
The impact you will have:
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Develop and execute a territory plan, clearly prioritizing target accounts in the start-up ecosystem.
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Effectively manage a mix of rapid, transactional deals and complex, strategic engagements.
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Consistently meet and exceed activity, pipeline, and revenue goals through active prospecting and account development.
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Maintain high standards of operational excellence in Salesforce and Clari, including accurate forecasting, opportunity tracking (MEDDPICC), and detailed account notes.
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Lead with a customer-first mindset and focus on delivering measurable business value.
What we look for:
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2–3+ years of closing experience in SaaS, Cloud, or Big Data sales.
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Proven success exceeding sales KPIs and quotas.
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Demonstrated ability to acquire new customers and expand existing relationships.
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(Nice to have) Experience collaborating with partners or engaging in co-selling or partner-led motions within the technology ecosystem.
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Ability to quickly learn new technical concepts and confidently communicate value propositions.
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Fluency in Japanese and business-level English is required.
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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