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Enterprise Account Executive – China

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Remote from
China
Salary
Undisclosed
Department
Sales
Employment
Full Time
Experience
Director
Published
Apply before
27 Oct 2026
Listing views
23
Application actions
1
Opportunity details

About this role.

SLSQ427R594

As an Enterprise Account Executive in Databricks, you are an enterprise sales professional experienced in selling to Enterprise accounts in Greater China region. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will close new accounts while maintaining existing accounts. Along with the chance to close exciting deals and solve meaningful problems.

You will report to the Director of Enterprise Sales.

The impact you will have:

  • Present a territory plan within the first 90 days
  • Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
  • Close both new accounts and existing accounts
  • Identify and close quick, small wins while managing longer, complex sales cycles
  • Exceed activity, pipeline, and revenue targets
  • Track all customer details, including use case, purchase time frames, next steps, and forecasting in Salesforce
  • Use a solution-based approach to selling and creating value for customers
  • Promote Databricks’ enterprise cloud data platform powered by Apache Spark
  • Ensure 100% satisfaction among all customers
  • Prioritize opportunities and apply appropriate resources
  • Build a plan for success internally at Databricks and externally with your accounts.

What we look for:

  • Field sales experience within big data, Cloud, and SaaS sales, covering Greater China territory
  • Prior customer relationships with CIOs, program managers, and essential decision makers
  • Simply articulate intricate cloud technologies
  • 7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industries
  • Success in closing new accounts while working on existing accounts
  • Understanding of Spark and big data is preferable
  • Business proficiency in Mandarin and experience in the GCR territory are required to enable effective collaboration and understanding of client needs. The successful candidate will engage with the customers in Mandarin to conduct technical and business discussions, address sales challenges, and present clear value propositions and outcomes.

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.

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AI Summary

The role, at a glance.

This is a senior enterprise field-sales role responsible for acquiring and expanding strategic accounts across Greater China. The Account Executive will build territory plans, engage CIOs and other executive stakeholders, manage complex sales cycles, and maintain accurate Salesforce forecasts. Success depends on solution selling of Databricks’ cloud data platform, exceeding pipeline and revenue goals, and balancing quick wins with longer enterprise opportunities. The role requires at least seven years of enterprise sales experience in big data, cloud, or SaaS, plus business-level Mandarin proficiency and established GCR market experience.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe position combines high-quota enterprise selling, technically sophisticated cloud/data-platform positioning, and long, multi-stakeholder decision cycles. It requires independent territory strategy, executive credibility, Mandarin-language business discussions, and consistent forecast discipline.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate
$180,000
US market range$130k–$250k
AI insightNo employer compensation was disclosed. These are estimated US-market annual total-cash/OTE figures for a senior enterprise SaaS Account Executive; actual compensation in China may differ substantially based on local market, quota, commission plan, and territory scope.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you build a territory plan for Greater China during your first 90 days?

I would segment named accounts by strategic fit, data and AI maturity, existing platform landscape, and near-term business triggers. I would map executive and technical stakeholders, identify system-integrator leverage, define account plays, and establish measurable pipeline, meeting, and coverage targets with weekly inspection points.

Describe how you would sell a complex data platform to both a CIO and a business-line executive.

I would tailor the conversation to each stakeholder's priorities while connecting both to a shared business case. With the CIO, I would focus on architecture, governance, scalability, and risk; with the business leader, I would quantify faster insights, operational outcomes, and time-to-value, supported by a practical use case and mutual action plan.

How do you manage a long enterprise sales cycle while still delivering quick wins?

I create a dual-track account plan: a strategic program for the broader transformation and a smaller, high-value use case that can validate value quickly. I use clear exit criteria, executive sponsorship, technical validation milestones, and a mutual close plan to prevent the larger opportunity from stalling.

What is your approach to forecasting accurately in Salesforce?

I maintain opportunity records with verified customer outcomes, stakeholders, decision process, timeline, risks, next steps, and quantified value. I forecast based on evidence rather than optimism, regularly challenge close dates, and clearly distinguish committed opportunities from pipeline that still requires validation.

How would you respond when a prospect says its existing cloud or data tools are sufficient?

I would first understand what is working, where friction remains, and which strategic initiatives the current stack cannot support efficiently. I would then position Databricks around the prospect's specific gaps—such as unified data and AI workflows, governance, performance, or faster innovation—and propose a focused evaluation tied to measurable success criteria.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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