
Databricks
Enterprise Account Executive at Databricks
$272,000–$374,000 / year
Apply for this positionRole overview
An at-a-glance view of the facts included with this Enterprise Account Executive at Databricks listing.
- Company
- Databricks
- Location
- Remote, United States
- Work arrangement
- Remote
- Employment type
- Full-time
- Compensation
- $272,000–$374,000 / year
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Role overview
This job description has been rewritten in fresh language using the facts in the listing. Source credit and original listing details are available below.
Databricks is hiring a Strategic Enterprise Account Executive for its Retail team. The role manages a strategic enterprise client and focuses on expanding the company’s presence across business units and use cases while delivering value-based account growth. The position reports to the Director of Enterprise Sales and is listed as remote in Chicago; candidates in other locations may also be considered.
You’ll lead go-to-market efforts within a Fortune 500 account, develop relationships with senior technology and business leaders, and guide customers through sales decisions. The work includes presenting the value of Databricks’ Data Intelligence Platform, powered by Apache Spark and Delta Lake, and shaping an account plan with internal teams and the customer. The listed pay range is $272,000–$374,000 USD; compensation may vary based on factors including skills, experience, credentials, and work location. The package may also include an annual performance bonus, equity, and benefits.
Role at a glance: Databricks seeks a Retail-focused Strategic Enterprise Account Executive to grow a strategic account and exceed sales targets.
Responsibilities mentioned in the listing
- Build relationships with CIOs, IT and business-unit executives, program managers, and other key stakeholders.
- Grow account value and expand Databricks into additional business units and use cases.
- Meet or exceed activity, pipeline, and revenue targets.
- Maintain customer use cases, buying timelines, next steps, and forecasts in Salesforce.
- Use solution-based selling to communicate customer value and promote the Databricks Data Intelligence Platform powered by Apache Spark and Delta Lake.
- Prioritize opportunities and engage appropriate resources.
- Develop success plans both within Databricks and with the account.
Qualifications stated in the listing
- At least 7 years of enterprise sales experience, with a record of exceeding quotas in larger accounts.
- Field sales experience in big data, cloud, or SaaS, including a consumption-based sales motion.
- Experience succeeding at an early-stage company with limited oversight.
- Existing relationships with CIOs, program managers, and key decision-makers at local accounts.
- Ability to translate technical capabilities into value-based customer benefits.
- Experience managing a small portfolio of enterprise accounts rather than a broad territory.
- Bachelor’s degree.
Full details from the source listing
SLSQ128R78
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
- Remote - Chicago
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 Enterprise Account Executive to join the Retail 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 as part of the Retail team. 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 and 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.
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.



