Emerging Enterprise Account Executive

Reposted One Month Ago
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Tokyo, JPN
In-Office
Mid level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Own an emerging-territory portfolio in Japan, drive new customer acquisition and expansion, manage transactional and strategic deals, meet pipeline and revenue targets, maintain Salesforce and Clari with MEDDPICC-driven forecasting, and communicate measurable business value to senior stakeholders.
Summary Generated by Built In

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.

Skills Required

  • 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
  • Experience maintaining Salesforce and Clari with accurate forecasting and opportunity tracking (MEDDPICC)
  • Ability to quickly learn new technical concepts and confidently communicate value propositions
  • Fluency in Japanese and business-level English
  • Experience collaborating with partners or engaging in co-selling or partner-led motions

Databricks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

  • Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
  • Parental & Family Support — Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
  • Wellbeing & Lifestyle Benefits — Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.

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The Company
HQ: San Francisco, CA
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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