Named Hunter Account Executive, Retail

SLSQ127R630

As an Enterprise Account Executive at Databricks, you are a strategic sales professional experienced in selling into Retail & Consumer Packaged Goods accounts. You know how to compress decision cycles by penetrating accounts fast and demonstrating the value to the customer. You love understanding a product in-depth and are passionate about communicating its value to Customers. Always looking for new opportunities, you will be asked to close new accounts while maintaining existing accounts. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment. 

• Assess your accounts and develop a strategy to identify and engage all buying centers
• Use a solution-based approach to selling and creating value for new logo accounts 
• Be comfortable switching between technical stakeholder and business buyer personas, in order to connect the customers challenges to business value through the entire sales cycle
• Identify and close quick wins while managing longer, complex sales cycles
• Track all customer details including projects, purchase time frames, next steps, and forecasting in Salesforce
• Map the whitespace opportunity across your defined territory, and use methodology to identify the most viable use cases in each account to maximise Databricks impact
• Orchestrate and work with teams to maximise 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 Intelligence Platform

• 5+ years of enterprise sales experience exceeding quotas, covering relevant accounts and industries
• Strong closing experience and evidence of exceeding sales quota 
• Sales experience within Cloud software, open source technology, or ideally Data and AI space
• 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 intricate cloud technologies
• Bachelor's Degree or equivalent experience preferred

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

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. 

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.