Full-Time

Start-Up Account Executive

Posted on 12/20/2024

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$97.8k - $173.2kAnnually

+ Annual Performance Bonus + Equity

Junior

Bellevue, WA, USA

Category
Inside Sales
Sales & Account Management
Required Skills
Sales
Data Science
Apache Spark
Salesforce
Databricks

You match the following Databricks's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • 1+ years of closing sales experience
  • You have previously worked in a startup and you know how to navigate and be successful
  • Prior success in big data, Cloud, or SaaS sales
  • Articulate intricate cloud technologies
  • Experience exceeding sales quotas
  • Success closing new accounts
  • Must understand Apache Spark™ and big data
  • Passion for cloud technologies
  • Bachelor's Degree
Responsibilities
  • Present a territory plan within first 90 days
  • Grow Databricks usage in new accounts
  • Exceed activity and revenue targets
  • Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
  • Use a solution approach to selling and creating value for customers
  • Promote Databricks' enterprise cloud data platform powered by Apache Spark™
  • Prioritize opportunities and applying appropriate resources

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, with the goal of helping organizations leverage their data for better decision-making.

Company Stage

Debt Financing

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 $15 billion in Series J funding for AI product development and expansion.
  • The platform's support for open-source models like Meta's Llama enhances its AI offerings.
  • Growing demand for real-time analytics boosts Databricks' adoption across industries.

What critics are saying

  • Increased competition from Snowflake threatens Databricks' market share in the lakehouse sector.
  • Rapid AI advancements could render Databricks' offerings obsolete without continuous innovation.
  • Integration challenges with new acquisitions may disrupt operations and customer satisfaction.

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 offers robust integration capabilities across various cloud environments.

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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

INACTIVE