.png)
SLSQ126R519
Ideal location is Seattle Washington
As an Enterprise Account Executive at Databricks, you are a strategic sales professional experienced in selling into one of our largest retail 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 its 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 Strategic Enterprise Account Executive to join the Retail & CPG team and maximize the phenomenal market opportunity that exists for Databricks. Reporting to our Director of Enterprise Sales, as a Strategic Account Executive at Databricks you will manage one of our largest clients in the Retail & CPG vertical. 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 this strategic client
The impact you will have:
- Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
- Close both new accounts and existing accounts
- Identify and close quick, small wins while managing longer, complex sales cycles
- Customer Obsessed: Ensure 100% satisfaction among your customer
- 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' enterprise Lakehouse cloud data platform powered by Apache Spark and Delta Lake
- Prioritize opportunities and applying appropriate resources
- Build a plan for success internally at Databricks and externally with your accounts
- Strategic nature of this position, you will be working with extended functional teams including Databricks Leadership and Founders
What we look for:
- You have previously worked in an early stage company and you know how to navigate and be successful
- Field sales experience within big data, Cloud, and SaaS sales
- Prior customer relationships with CIOs, program managers, and essential decision makers at F50 Retail accounts
- Simply articulate intricate cloud technologies
- 7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industries
- Success closing new accounts while working existing accounts
- The ability to work both strategy and tactical execution
- Understanding of Spark and big data preferable
- Experience with F50 Retail accounts is preferable
- 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.
Zone 1 Pay Range
$245,300—$376,200 USD
Zone 2 Pay Range
$245,300—$376,200 USD
Zone 3 Pay Range
$245,300—$376,200 USD
Zone 4 Pay Range
$245,300—$376,200 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
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.
.png){kind=logo}
_0.png)
