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Enterprise Account Executive, LATAM

Databricks · 30+ days ago
$91k+
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Full-time
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SLSQ126R25

As an Enterprise Account Executive on our US-based LATAM Sales Team, you are an experienced sales professional versed in selling to Enterprise accounts across Mexico and Central America. 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 Partners. Always looking for new opportunities, you will close new accounts while maintaining existing accounts. Along with the chance to close exciting deals and solve meaningful problems, we also offer accelerators above 100% quota attainment.

You will report to the Regional Director of Enterprise Sales.

The impact you will have:

  • Assess your accounts and develop a strategy to identify and engage all buying centers
  • Use a solution approach to selling and creating value for customers
  • Own the consumption story with your customers using demand plans to identify the most viable use cases in each account to maximize Databricks impact.
  • Orchestrate and work with teams to maximize the impact on your ecosystem
  • Build value with all engagements to promote successful negotiations to close point
  • Be Customer focused by delivering technical and business results using the Databricks Data Intelligence Platform

What we look for:

  • 5+ years of closing experience with relevant technology solutions, exceeding sales quotas
  • Sales experience within Cloud software, open source technology, and/or Data and AI
  • You have previously worked in an early-stage company and you know how to navigate and be successful in a fast-growing organization.
  • Experience driving successful adoption of usage-based subscription services (SaaS) and co-selling with AWS, Azure and Google Cloud teams 
  • Methods for co-developing business cases and gaining support from C-level Executives
  • Familiarity with sales methodologies and processes, (e.g Territory and Account planning, MEDDPICC, and value/discovery selling)
  • Simply articulate complex cloud technologies
  • Bachelor's Degree

Benefits:

  • Comprehensive health coverage including medical, dental, and vision
  • 401(k) Plan
  • Equity awards
  • Flexible time off
  • Paid parental leave
  • Family Planning
  • Gym reimbursement
  • Annual personal development fund
  • Employee Assistance Program (EAP)
  • Mental Health Wellness Resources

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 TwitterLinkedIn 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.

Last updated on Aug 19, 2024

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About the company

D
DatabricksDatabricks provides a data and AI platform for businesses, offering data engineering, data science, and machine learning tools and services.

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