Emerging Enterprise Hunter Account Executive

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London, Greater London, England, GBR
In-Office
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role

SLSQ127R50

As an Emerging Enterprise Account Executive at Databricks, you come with relevant experience selling Emerging Enterprise companies ranging from $250m to $1B in revenue.  You are a hunter with superb prospecting skills and passion for acquiring new logos. Your informed point of view on Big Data and Advanced Analytics will guide your successful sales strategy together with our teams and partners, allowing you to provide value to our biggest and most valued customers.

Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment.

The impact you will have:

  • Assess your territory and develop a successful execution strategy 
  • Exceed activity and quarterly revenue targets
  • Identify new use case opportunities and showcase value to existing customers
  • Use a solution-based approach to selling and creating value for customers
  • Promote Databricks' enterprise cloud data platform powered by Apache Spark
  • 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:

  • 2 years of closing experience selling SaaS / Cloud or Big Data solutions to Mid Market Customers in the UK. 
  • Solution and business-outcomes focused sales approach (Command of the Message, MEDDPIC, Challenger Sale)
  • Ability to simply articulate intricate cloud & big data technologies and their business value for the customer
  • Experience exceeding sales targets/quotas
  • Bachelor's Degree or relevant work experience
  • Fluency in English is required.

#LI-NV1

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.
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, please visit https://www.mybenefitsnow.com/databricks. 

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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The Company
New York, NY
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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