Full-Time

Enterprise Account Executive

Financial Services

Posted on 1/21/2025

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

Remote in USA

Category
Strategic Account Management
Sales & Account Management
Required Skills
Data Science
Requirements
  • Passion for selling a highly technical product in the cloud
  • 5+ years of experience with Open Source Technologies and build vs buy decision-making
  • 5 -8 years of experience with Value Selling Methodologies
  • A creative salesperson with a well-defined prospecting motion
  • Sales experience within big data, Cloud, or SaaS sales
  • Proven years of experience exceeding sales quotas
  • Success closing new accounts while working on existing accounts
Responsibilities
  • You will have a direct influence on the data strategy of the most disruptive companies today
  • You will communicate account strategy to Databricks Senior Leadership on a regular basis
  • You will allocate Databricks resources to break into new accounts and grow existing accounts
  • Meet with C-Level Executives to Practitioner level to understand how Databricks can make an impact on business outcomes
  • Exceed activity, pipeline, and revenue targets
  • You will use a creative, fail-fast approach to selling and creating value for customers
  • You will build a plan for success internally at Databricks and externally with your accounts

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