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Databricks

Account Executive, Commercial - Hunter

Tokyo, Japan

Location
Tokyo, Japan
Work
Not stated
Employment
Not stated
Level
Not stated
Function
Sales
Pay
Not stated
Posted
2 months ago

About the role

SLSQ127R32

At Databricks, we empower organizations to make better decisions with data and AI. As an Commercial (Mid-Market) Account Executive, you'll partner with some of Japan's most innovative and fast-growing companies - helping them unlock the full potential of their data to scale faster and smarter. You will own an Emerging territory, a portfolio of high‑potential, under‑penetrated accounts (often SMBs and Mid-market) that are not yet covered by a dedicated account owner.

You are a strategic, growth-minded sales professional who thrives in dynamic environments. You understand how to engage with senior stakeholders, navigate complex organizations, and drive meaningful outcomes. You're comfortable managing both short-term opportunities and multi-threaded, strategic initiatives that expand our footprint and customer impact.

You will report to Sr Manager, Sales in Japan.

The impact you will have:

  • Develop and execute a territory plan targeting Japan’s emerging market segment - growth-stage organizations with significant data and AI ambitions.
  • Effectively manage a mix of rapid, transactional deals and complex, strategic engagements.
  • Consistently meet and exceed activity, pipeline, and revenue goals through active prospecting and account development.
  • Maintain high standards of operational excellence in Salesforce and Clari, including accurate forecasting, opportunity tracking (MEDDPICC), and detailed account notes.
  • Lead with a customer-first mindset and focus on delivering measurable business value.

What we look for:

  • 3+ years of closing experience in SaaS, Cloud, Big Data or AI sales.
  • Proven success exceeding sales KPIs and quotas.
  • Demonstrated ability to acquire new customers and expand existing relationships.
  • (Nice to have) Experience collaborating with partners or engaging in co-selling or partner-led motions within the technology ecosystem.
  • Ability to quickly learn new technical concepts and confidently communicate value propositions.
  • Fluency in Japanese and business-level English is required.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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.

Source

Posted by Databricks on their own hiring page, databricks.com. OptiTalent shows it as published, read 07 Nov 2026 02:16 UTC; the original is the reference.

View the original ad ↗

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