Best suited to candidates with SaaS sales experience who have worked in fast-growing organizations and can navigate complex sales processes.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Databricks
SLSQ427R846
As a Digital Native Account Executive at Databricks, you have a strong command of the SaaS sales process. 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 prospective customers and partners. Always prospecting for new opportunities, you will target net-new accounts. Along with the chance to close exciting deals, we also offer accelerators for exceeding 100% quota. You will report to a regional sales manager.
The impact you will have:
Assess your accounts and develop a strategy to identify and engage all buying centers
Use a solution approach to selling and creating value for customers
Identify the most viable use cases in each account to maximize Databricks impact
Orchestrate and work with teams to maximize the impact on your ecosystem
Build value with all engagements to promote successful negotiations to close point
Promote Databricks enterprise cloud data platform powered by Apache Spark
Be Customer focused by delivering technical and business results using the Databricks Platform
Promote Teamwork...it makes the Dreamwork!
What we look for:
You have previously worked in an early-stage company, and you know how to navigate and be successful in a fast-growing organization.
Sales experience within big data, Cloud, or SaaS sales
Prior customer relationships with CIOs and important decision-makers
Simply articulate intricate cloud technologies and big data
Experience exceeding sales quotas
Success closing new business to net new accounts
5+ years of sales experience in SaaS/PaaS companies
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 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.
Zone 1 Pay Range$272,000—$374,000 USDZone 2 Pay Range$272,000—$374,000 USDZone 3 Pay Range$272,000—$374,000 USDZone 4 Pay Range$272,000—$374,000 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.
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 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.
Source: Databricks careers