Synced from Greenhouse · Jul 1

Account Executive

DatabricksTokyo, JapanPosted Jul 1, 2026
Account ExecutiveMid
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

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Jul 1
Posted
Greenhouse
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Job descriptionReq 8194916002

SLSQ127R32

At Databricks, we empower organizations to make better decisions with data and AI. As an Emerging 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.

View original posting on Greenhouse

What applying to Databricks usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Databricks can generally expect a structured process typical of this ATS. This commonly begins with an online application and resume screen, followed by a recruiter conversation to discuss background and role fit. Depending on the position, candidates may encounter technical assessments, take-home exercises, or case studies, particularly for engineering, data, and analytical roles. The process may include multiple stages such as hiring manager conversations, panel discussions, and team or cross-functional interviews. Response times vary and communication is typically managed through the greenhouse platform, including scheduling and status updates. Candidates should prepare to discuss relevant experience, technical skills, and role-specific scenarios, as greenhouse-based processes commonly emphasize structured evaluation criteria across candidates to support consistent, comparative hiring decisions throughout the pipeline.

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Account Executive
Databricks · Tokyo, Japan
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