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Enterprise Account Executive – Retail

AI Summary
Databricks is seeking a strategic Enterprise Account Executive to grow a major retail account through value-based sales of its Data Intelligence Platform. The role owns executive relationships, account expansion, opportunity prioritization, pipeline development, forecasting, and revenue attainment. The successful candidate brings at least seven years of enterprise field-sales experience in AI, BI, big data, cloud, or SaaS, with a consumption-selling background. This is a remote Texas role, ideally based around Dallas or Austin, reporting to the Director of Enterprise. The position requires translating technical data and AI capabilities into measurable business outcomes for senior retail stakeholders.
Remote from
USA
Salary
USD 311,600–428,450 / yr
Department
Sales
Employment
Full Time
Experience
Director
Published
Apply before
5 Dec 2026
Listing views
20
Application actions
2
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Opportunity details

About this role.

SLSQ327R430

Candidates in the listed location(s) are highly encouraged for this role

  • Remote – Dallas (ideal)
  • Remote – Austin

As a Strategic Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 500 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 value to Customers and System Integrators.

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 Strat Enterprise Account Executive – Retail vertical to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks.

Reporting to our Director, Enterprise you will map to a strategic customer in the Retail vertical. 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:

  • Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.
  • Drive value-based growth within the accounts
  • Expand the Databricks footprint into new business units and use cases.
  • 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’ Data Intelligence Platform powered by Apache Spark™ and Delta Lake
  • Enable orgs to democratize insights from their data through AI-powered business intelligence, natively integrated into the Databricks Platform.
  • Prioritize opportunities and leverage appropriate resources.
  • Build a plan for success internally at Databricks and externally with your account

What we look for:

  • You have previously excelled in an early-stage company — you know how to navigate and be successful with limited oversight
  • Previous field sales experience within AI/BI, big data, Cloud, SaaS, and a consumption selling motion
  • Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts
  • The ability to simplify a technical capability into a value-based benefit
  • 7+ years of Enterprise Sales experience exceeding quotas in larger accounts
  • 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

$311,600—$428,450 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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This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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 senior strategic sales role with large-account revenue accountability, complex technical solution selling, and executive-level stakeholder management. Success depends on independently advancing long sales cycles while consistently meeting pipeline and revenue targets.

Salary analysis

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

Estimated job median (per year)Highly competitive
$370,025
US market range (per year)$280k–$450k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. Databricks discloses an on-target earnings range of $311,600–$428,450 USD. The annual period is inferred from the scale and context of a full-time US strategic enterprise sales role; the posting does not explicitly state a pay cadence. The midpoint is $370,025 per year, and an estimated US market range for comparable enterprise AI/data-platform account executive roles is $280,000–$450,000 per year in total target compensation.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you develop a growth strategy for a strategic retail account using Databricks?

I would first map the account's business priorities, data estate, executive stakeholders, and current analytics or AI initiatives. I would identify high-value use cases tied to outcomes such as inventory optimization, personalization, demand forecasting, or customer insights, then create a mutual account plan with clear sponsors, milestones, and expansion paths.

Describe how you translate a technical data or AI capability into value for a CIO or business executive.

I begin with the executive's business objective and quantify the cost, risk, revenue, or speed-to-market implication. I then position the technical capability only as the enabler, using a concise narrative that connects platform adoption to measurable outcomes, supported by relevant customer examples and a practical adoption path.

How do you manage a complex enterprise deal with multiple decision makers and a long sales cycle?

I build a stakeholder map that identifies champions, economic buyers, technical evaluators, and potential blockers. I establish mutual close plans, validate decision criteria and procurement steps early, maintain regular executive alignment, and use CRM discipline to track next actions, risks, and forecast confidence.

What is your approach to exceeding pipeline and revenue targets in a strategic account?

I maintain coverage through a balanced portfolio of near-term opportunities and longer-term expansion plays. I prioritize opportunities based on business impact, access to decision makers, technical fit, and urgency, while continuously creating new demand through executive conversations, use-case workshops, and partner collaboration.

Give an example of succeeding with limited oversight in an early-stage or fast-growth environment.

I would explain how I set a clear territory plan, defined measurable weekly priorities, and proactively aligned cross-functional partners without waiting for detailed direction. I would also show how I used customer feedback and pipeline data to adjust quickly, communicate risks early, and sustain accountability for outcomes.

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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