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Salary
$120k – $270k per year (Estimated)
Location
Remote (United States)
Seniority
Senior · 7+ years exp
Overview
Company
Impact
Profile match
Databricks is an American software company founded in 2013 by the original creators of Apache Spark, Delta Lake and MLflow at the University of California, Berkeley. Its data intelligence platform unifies data engineering, warehousing, governance, analytics and machine learning on a lakehouse architecture that stores open table formats in a customer's own cloud object storage. Headquartered in San Francisco and available on AWS, Azure and Google Cloud, the platform is used by tens of thousands of organisations to build pipelines, dashboards and production AI applications.

SLSQ426R342

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

As a Strategic Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns within a set of Federal System Integrators (FSI). 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 Public Sector team and maximize the phenomenal market opportunity that exists for Databricks.

Reporting to our Director of Enterprise Sales, you will manage a strategic enterprise client in the Public Sector 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 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.  Experience selling to FSIs is required.
  • Managing a targeted enterprise account 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 base 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 anticipated 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

$272,000—$374,000 USD

Zone 2 Pay Range

$272,000—$374,000 USD

Zone 3 Pay Range

$272,000—$374,000 USD

Zone 4 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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