Business Development Representative, Japan

Posted:
10/17/2024, 1:53:27 AM

Location(s):
Tokyo, Japan

Experience Level(s):
Junior ⋅ Mid Level

Field(s):
Business & Strategy ⋅ Sales & Account Management

Pay:
$146/hr or $303,680 total comp

SLSQ225R129

Databricks operates at the leading edge of the Unified Data Analytics space and our customers turn to us to promote the accelerated innovation that their businesses need to gain first mover advantage in today's competitive landscape.

We're looking for a Business Development Representative to help increase revenue across accounts in the Japan market.This role is perfect for a dynamic sales professional with previous experience in a similar role, looking to help scale out a game-changing enterprise software company and have the opportunity to really accelerate your career. You will report to the Manager of the Japan Sales Development team.

What you will be responsible for:

  • Cultivate expertise in value-based selling, big data, and AI.
  • Evaluate and prioritize the inbound leads from Marketing initiatives.
  • Craft outbound strategies encompassing personalized emails, cold calls, and social selling to qualify opportunities.
  • Devise compelling outreach campaigns targeting diverse buyer levels, including senior executives, to unlock opportunities in critical target accounts.
  • Identify and uncover client requirements, progressing discussions into sales prospects by demonstrating how Databricks can address their data-related challenges.

What we look for:

  • Preferably a minimum of 1-2 years of prior experience in inbound and outbound sales and inquiries.
  • Proficiency in comprehending technical concepts, coupled with genuine enthusiasm for technology.
  • Determination and courage to excel and contribute to the growth of the next top-tier enterprise software company.
  • Demonstrated history of consistent, quantifiable achievements in previous roles.
  • Curiosity and eagerness to continually learn and stay abreast of developments in the big data/AI sector.
  • A strong sense of ownership and accountability.
  • Fluency in Japanese with business level English is a requirement.

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 TwitterLinkedIn 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.

Databricks

Website: https://databricks.com/

Headquarter Location: San Francisco, California, United States

Employee Count: 5001-10000

Year Founded: 2013

IPO Status: Private

Last Funding Type: Series I

Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Information Technology ⋅ Machine Learning