SaaS Account Executive — Digital Native Markets

Databricks Inc.; Los Angeles (CA); On-site; USD 245,000 - 337,000; Full time

Benefits offered by this job

Equity

Performance bonus

Job summary

Databricks is seeking a Digital Native Account Executive in the United States. You will drive net-new accounts, articulate the value of the Databricks platform, and accelerate deals toward closure. Expect accelerators for surpassing 100% quota and reporting to a regional sales manager.

You will identify buying centers, craft value-based solutions, and work with teams to maximize impact across the ecosystem. This role focuses on enterprise cloud data solutions and customer outcomes.

Qualifications

• 5+ years of sales experience in SaaS/PaaS companies.
• 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.

Responsibilities

• Assess accounts and develop a strategy to engage all buying centers.
• Use a solution approach to selling and creating value for customers.
• Identify viable use cases to maximize Databricks impact.
• Orchestrate and work with teams to maximize ecosystem impact.
• Build value with engagements to promote successful negotiations.
• Promote Databricks enterprise cloud data platform powered by Apache Spark.
• Be customer focused by delivering technical and business results using the Databricks Platform.

Skills

SaaS sales

Big data

Cloud sales

CIO relationships

Education

Bachelor's Degree

Job description

Databricks is seeking a Digital Native Account Executive in the United States. You will drive net-new accounts, articulate the value of the Databricks platform, and accelerate deals toward closure. Expect accelerators for surpassing 100% quota and reporting to a regional sales manager.

You will identify buying centers, craft value-based solutions, and work with teams to maximize impact across the ecosystem. This role focuses on enterprise cloud data solutions and customer outcomes.