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Enterprise Account Executive, Healthcare

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14 Oct 2026Apply before
Opportunity details

About this role.

AI Summary

Databricks is seeking a senior Enterprise Account Executive to own and expand two large healthcare accounts. The role centers on consultative selling of its cloud data and AI platform to CIOs, IT leaders, line-of-business executives, and program stakeholders. Responsibilities include account planning, pipeline development, Salesforce forecasting, managing complex sales cycles, and exceeding revenue targets. Candidates need 7+ years of quota-carrying enterprise sales experience, preferably in healthcare and big data, cloud, or SaaS environments.

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 insightThis is a high-stakes enterprise sales role involving complex healthcare stakeholders, long decision cycles, sophisticated cloud and AI products, and aggressive pipeline and revenue accountability. Success requires independently orchestrating executive relationships and internal resources while consistently producing measurable commercial results.

Salary analysis

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

Estimated job medianMarket rate
$323,000
US market range$250k–$400k
AI insightThe disclosed yearly on-target earnings range is $272,000 to $374,000 USD, with a midpoint of $323,000. This is competitive for a senior enterprise SaaS account executive selling data and AI platforms into strategic healthcare accounts in the US; the estimated broader US market range is approximately $250,000 to $400,000 in annual OTE, depending on territory, quota, product complexity, and commission plan.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you create an account plan for a large healthcare organization using Databricks?

I would start by mapping the organization's strategic priorities, data estate, major initiatives, and decision-making structure. I would identify executive sponsors and operational champions across IT, analytics, clinical, security, and business functions, then build a mutual action plan tied to measurable use cases such as analytics modernization, AI enablement, or data governance.

Describe how you manage a complex enterprise sales cycle with multiple stakeholders.

I establish a clear stakeholder map, qualify the business problem and decision process early, and confirm technical, economic, and legal requirements. I maintain regular executive alignment, document next steps in a mutual close plan, and involve the right internal specialists at each stage to prevent avoidable delays.

How would you explain the value of a cloud data and AI platform to a healthcare CIO?

I would focus on outcomes rather than product features: consolidating fragmented data, improving governance, enabling trusted analytics and AI workloads, and reducing time to insight. I would connect those outcomes to the CIO's priorities, such as modernization, security, interoperability, operational efficiency, and scalable innovation.

What approach would you take to grow an existing enterprise healthcare account while also finding new opportunities?

I would build relationships beyond the original buying team, review adoption and realized value, and use customer outcomes to identify adjacent business units and use cases. At the same time, I would maintain a structured territory plan with targeted prospecting, opportunity prioritization, and regular pipeline reviews to balance expansion and net-new activity.

Tell us about a time you had to sell a technically complex solution to nontechnical executives.

I would translate the technical capabilities into the executive's business objectives, risks, and financial impact rather than leading with architecture. For example, I would use a concise value narrative, relevant customer evidence, and a phased implementation path that makes the decision understandable while ensuring technical teams can validate the solution in parallel.

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

SLSQ427R374

As an Enterprise Account Executive at Databricks, you are a strategic sales professional experienced in selling to large healthcare accounts. 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 be asked to maintain and grow two healthcare accounts. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.

Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first-mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks.

Reporting to our Director of Enterprise Healthcare Sales, you will map to enterprise clients under the Healthcare umbrella. You will come with an informed point of view on Big Data, Advanced Analytics, and AI, which will help to guide your successful execution strategy and allow you to provide genuine value to the client

The impact you will have:

  • Meet with the CIO, IT executives, LOB executives, Program Managers, and other important partners
  • Grow two enterprise healthcare 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 your customer
  • Promote Databricks’ enterprise cloud data platform powered by Apache Spark™
  • Ensure 100% satisfaction among your customer
  • Prioritize opportunities and apply appropriate resources
  • Build a plan for success internally at Databricks and externally with your accounts

What we look for:

  • You have previously worked in an early-stage company, and you know how to navigate and be successful
  • Field sales experience within big data, Cloud, or SaaS sales
  • Experience managing large, complex Healthcare accounts is preferred.
  • Prior customer relationships with CIOs, program managers, and essential decision makers
  • Simply articulate intricate cloud technologies
  • 7+ years experience exceeding sales quotas
  • Success closing new accounts while working existing accounts
  • Understanding of Spark and big data preferable
  • Passion for cloud technologies
  • Bachelor’s Degree

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$272,000—$374,000 USD

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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