Strategic Core Account Executive
Required skills
- Enterprise Account Executive
- Databricks
- Digital Natives team
- Director of Enterprise Sales
- Big Data
- Advanced Analytics
- AI
- CIOs
- IT executives
- LOB executives
Nice to have
- go-to-market campaigns
- customer vision expansion
- compress decision cycles
- System Integrators
- Unified Data Analytics
- accelerated innovation
Role summary
Databricks is seeking an Enterprise Account Executive to join their Digital Natives team, focusing on the DNB vertical. This role involves managing strategic enterprise accounts, driving value-based growth, and expanding the Databricks Data + AI Platform footprint. The ideal candidate has 7+ years of Enterprise Sales experience, a strong understanding of Big Data, Cloud, SaaS, and AI, and proven success in exceeding quotas within larger accounts. Responsibilities include building relationships with C-suite executives, forecasting in Salesforce, and leveraging a solution-based selling approach. This is a remote, full-time position with a competitive salary range.
SLSQ427R774
As an Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 500 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 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 Enterprise Account Executive to join the Digital Natives team and maximize the phenomenal market opportunity that exists for Databricks.
Reporting to our Director of Enterprise Sales, you will manage a strategic enterprise client in the DNB 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 the client.
The impact you will have:
What we look for:
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipates 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.
Zone 1 Pay Range$311,600—$428,450 USDAbout Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt 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 click here.
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.
Sample Databricks interview questions
- 1
How do you ensure a prospect feels confident in signing a contract with you?
technicalmedium - 2
What trends do you anticipate in account management?
technicalmedium - 3
What would you do if a buyer said they wanted to go with Snowflake instead
case studyaverage - 4
Monte uma apresentação sobre determinado cliente.
executiondifficult - 5
Learn the Databricks product and prepare a demo.
executionaverage
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