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Named Enterprise Account Executive

Dallas, TX, United States

SLSQ424R448

Ideal Candidates are in Texas and Georgia

As a CME Enterprise Account Executive at Databricks, you are an enterprise sales professional experienced in selling to CME accounts, specifically, AT&T 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 close new accounts while maintaining existing accounts. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.

You will report to the Regional Director of Enterprise Sales.

The Impact You Will Have

Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners

You will provide the industry insight and business creativity required to design and develop unique programs and solutions that differentiate Databricks in our CME vertical

Close both new accounts and existing 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 customers

Promote Databricks' Data Intelligence Platform powered by Apache Spark and Delta Lake

Ensure 100% satisfaction among all customers

Prioritize opportunities and applying 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 sale experience selling to AT&T

Field sales experience within big data, Cloud, or SaaS sales

Prior customer relationships with CIOs, program managers, and essential decision makers

Simply articulate intricate cloud technologies

5+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industries

Success closing new accounts while working existing accounts

Understanding of Spark and big data preferable

Passion for cloud technologies

Bachelor's Degree or equivalent experience

Benefits

Extended Health Care Including Dental and Vision

Life/AD&D and Disability Coverage

Equity Awards

Flexible Vacation

Paid Parental Leave

Fitness Reimbursement

Annual Career Development Fund

Home Office/Work Headphones Reimbursement

Employee Assistance Program (EAP)

Business Travel Accident Insurance

Mental Wellness Resources

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents 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 utilizes 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

$204,800—$362,400 USD

Zone 2 Pay Range

$204,800—$362,400 USD

Zone 3 Pay Range

$204,800—$362,400 USD

Zone 4 Pay Range

$204,800—$362,400 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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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