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Strategic Account Executive

AI Summary
Databricks is seeking an enterprise sales executive to lead strategic go-to-market campaigns across Fortune 500 telecommunications accounts. The role focuses on expanding adoption of the Data Intelligence Platform, building executive relationships, creating account plans, and progressing complex value-based deals. The successful candidate will manage a focused set of enterprise accounts, maintain Salesforce forecasting discipline, and exceed pipeline and revenue targets. Strong experience selling big data, cloud, SaaS, or consumption-based solutions to CIO-level stakeholders is required. This is a senior, highly autonomous quota-carrying role requiring technical business acumen and sophisticated enterprise sales execution.
Remote from
USA
Salary
USD 311–4,200k / yr
Department
Sales
Employment
Full Time
Experience
Director
Published
Apply before
9 Dec 2026
Listing views
24
Application actions
2
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Opportunity details

About this role.

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

  • Remote-San Francisco

As a 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 Enterprise Account Executive to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks.

Reporting to our Director of Enterprise Sales, you will map to enterprise clients under the CMEG umbrella (Telco orgs). 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 account.
  • 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
  • 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 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
  • Managing a small set of enterprise accounts rather than a broad territory
  • 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.

Zone 1 Pay Range

$311—$325,000 USD

Zone 2 Pay Range

$330,000—$350,000 USD

Zone 3 Pay Range

$350,000—$375,000 USD

Zone 4 Pay Range

$380,000—$4,200,000 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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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 insightThe position requires at least seven years of high-performing enterprise sales experience, technical fluency in data and AI platforms, and the ability to influence senior decision-makers through complex buying cycles. Success depends on independently managing major accounts while consistently delivering against demanding revenue and pipeline objectives.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you build an account strategy for a large telecommunications enterprise?

I would begin by mapping the business units, executive sponsors, technical influencers, current data priorities, and existing platform landscape. I would identify high-value use cases tied to measurable outcomes, build mutual action plans with stakeholders, and align internal technical and executive resources to advance the account.

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

I start with the CIO's strategic objectives, such as reducing time to insight, improving operational efficiency, or enabling new digital products. I then connect the platform capability to a specific use case, quantify the expected impact, and validate the value narrative with both business and technical sponsors.

How do you manage a long enterprise sales cycle with multiple decision-makers?

I create a stakeholder map and identify each participant's priorities, influence, and potential concerns. I maintain a documented mutual action plan, establish clear next steps and decision criteria, and use regular executive alignment to prevent momentum from stalling.

What metrics do you use to assess the health of an enterprise sales pipeline?

I review pipeline coverage, stage conversion, deal aging, close-date accuracy, stakeholder engagement, technical validation status, and next-step quality. I also assess whether each opportunity has a confirmed business problem, compelling event, economic buyer, and mutual close plan.

Tell us about a time you succeeded with limited oversight in an early-stage or fast-growth environment.

In a fast-growth setting, I established my own account prioritization framework, built repeatable discovery and qualification practices, and proactively coordinated product and technical resources. This allowed me to create a predictable pipeline while adapting quickly as positioning, processes, and customer needs evolved.

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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