Emerging Enterprise Account Executive
At a glance
Mid-level Account Executive role at Databricks. United States.
Pay not stated
Growth Roles summary, based on the employer's posting.
What you'll do
- Evaluate accounts, map their buying groups, and build an engagement plan for each opportunity
- Use consultative selling to connect customer needs with valuable Databricks use cases
- Coordinate internal and ecosystem teams to strengthen opportunities and move negotiations toward close
- Present the Databricks cloud data platform, including its Apache Spark foundation, to customers and partners
- Win new accounts while expanding relationships with existing customers
What you bring
- At least two years closing full-cycle SaaS or PaaS sales opportunities
- A bachelor's degree and sales experience in big data, cloud, or SaaS
- Existing relationships with CIOs and other senior buying decision-makers
- A record of beating sales quotas and closing new business while growing current accounts
- Experience succeeding in an early-stage, fast-growing organization
Who this fits
You’ll suit a mid-level enterprise seller who can explain complex cloud and big data technology in simple terms. The role reports to a regional sales manager and centers on winning new accounts, expanding existing ones, and working with customer and partner teams. The listing places the position in the United States.
From the employer
P-1357
As an Emerging Enterprise Account Executive at Databricks, you have 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 customers and partners. Always prospecting for new opportunities, you will close new accounts. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment. 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 accounts while up selling existing accounts
- 2+ years of full- cycle closing sales experience in SaaS/PaaS companies
- Bachelor's Degree
About 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.
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