Strategic Enterprise Account Executive

Posted Yesterday
Be an Early Applicant
Hiring Remotely in New York, NY
Remote
225K-399K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
As an Enterprise Account Executive at Databricks, you'll manage key client relationships within the media and entertainment sector, leveraging your expertise in big data and analytics to drive growth and exceed sales targets, using a solution-based sales approach.
Summary Generated by Built In

SLSQ425R908

Candidates in the listed location(s) are encouraged for this role

  • Remote - NY
  • Remote - NJ
  • Remote - Pennsylvania

As an Enterprise Account Executive at Databricks, you will manage a Strategic Media and Entertainment client in our CME vertical. You will come with an informed point of view on the Media and Entertainment industry and understand how Big Data, Advanced Analytics and AI can help our clients be successful. Having an understanding of the advertising and Martech space will be an advantage to be successful in this role. Using your experience to guide a successful execution strategy and allow you to provide genuine value to the client. You will report to the Director of Enterprise Sales.

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 CME team and maximize the phenomenal market opportunity that exists for Databricks.

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
  • 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 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.


Local Pay Range

$225,200$398,600 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.
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.

Top Skills

Advanced Analytics
AI
Spark
Big Data
Delta Lake
Salesforce
The Company
New York, NY
2,200 Employees
On-site Workplace
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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