Full-Time

Enterprise Account Executive

Usaf/ Ussf

Confirmed live in the last 24 hours

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$204.8k - $362.4kAnnually

+ Annual Performance Bonus + Equity

Senior

Washington, USA + 2 more

More locations: Oregon, USA | California, USA

Candidates from other locations will also be considered.

Category
Field Sales
Sales & Account Management
Required Skills
Sales
Data Science
Apache Spark
Salesforce
Databricks
Requirements
  • 5+ years of field sales experience to the USAF or USSF is preferred
  • Background in big data, Cloud, or SaaS sales is preferable
  • Experience with cloud technologies
  • Bachelor's degree
Responsibilities
  • Manage complex sales-cycles and present to C-level executives.
  • Close net new logos and expand existing accounts.
  • Identify and close quick, small wins while managing longer, complex sales cycles.
  • Exceed activity, pipeline, and revenue targets.
  • Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.
  • Use a solution-based approach to selling and creating value for customers.
  • Promote Databricks; enterprise cloud data platform powered by Apache Spark.
  • Ensure 100% satisfaction among all customers.
  • Prioritize opportunities and applying appropriate resources.
  • Build a plan for success internally at Databricks and externally with your accounts.
Desired Qualifications
  • You have previously worked in an early-stage company, and you know how to navigate and be successful
  • Track record of success delivering business value to customers

Databricks provides a platform that combines the features of data lakes and data warehouses, referred to as lakehouse architecture. This platform allows organizations to efficiently manage, analyze, and gain insights from their data. It caters to a diverse clientele, including data engineers, data scientists, and business analysts in sectors like finance, healthcare, and technology. Databricks streamlines data ingestion, management, and analysis through automated ETL processes, secure data sharing, and high-performance analytics. Additionally, it supports machine learning and AI workloads, enabling users to build and deploy models at scale. The company operates on a subscription-based model, generating revenue from platform access and professional services. Databricks aims to enhance data management and analytics for its users, making it easier to derive valuable insights from their data.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$13.6B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

0%

1 year growth

3%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $10 billion, boosting its valuation to $62 billion in 2023.
  • The company plans to expand globally, including into the Middle East's AI sector.
  • Growing demand for real-time analytics aligns with Databricks' platform capabilities.

What critics are saying

  • Increased competition from Snowflake could impact Databricks' market share.
  • Rapid AI advancements may outpace Databricks' feature integration capabilities.
  • Regulatory scrutiny over data privacy could challenge Databricks' expansion efforts.

What makes Databricks unique

  • Databricks' lakehouse architecture combines data lakes and warehouses for efficient data management.
  • The platform supports collaborative data science and machine learning workflows at scale.
  • Databricks integrates seamlessly with major cloud services for enhanced data management.

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Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave