Full-Time

Business Development Representative

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

$85kAnnually

+ Annual Performance Bonus + Equity

Entry, Junior

Chicago, IL, USA

Category
Business Development
Business & Strategy
Required Skills
Sales
Data Science
Databricks
Requirements
  • 2+ years of sales or business development experience
  • Ability to understand technical concepts and a genuine enthusiasm for technology
  • Determination and courage to succeed and lean in to build the next best enterprise software company
  • Consistent, measurable over-achievement in past experiences
  • Curiosity and hunger to learn and stay up-to-date about the big data/AI industry
  • Desire to build a career in technology sales
  • A high degree of ownership and grit
Responsibilities
  • Partner with the wider sales team to develop territory strategy, build pipeline, and drive adoption
  • Helping to Identify potential Databricks use cases to help grow consumption within customer/prospect accounts
  • Self-starter, eager to learn and develop on solution selling, Big Data & AI
  • Problem solver, strong communicator, and ability to learn technical sales
  • Be customer-centric. Provide a great customer experience for Databricks’ prospective customers
  • Maintain active inbound and outbound communications with prospects using creative follow-up, including personalized email, cold calling, and social selling

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. The goal of Databricks is to empower organizations to leverage their data effectively for better decision-making.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$3.9B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

9%

1 year growth

38%

2 year growth

79%
Simplify Jobs

Simplify's Take

What believers are saying

  • Increased demand for data lakehouse solutions boosts Databricks' market potential.
  • Growing interest in open-source tools aligns with Databricks' acquisition of Tabular.
  • Expansion of AI applications in key sectors enhances Databricks' client base.

What critics are saying

  • Increased competition from companies like Snowflake threatens Databricks' market share.
  • Integration challenges with Tabular could lead to operational inefficiencies.
  • Rapid AI model development may attract ethical and regulatory scrutiny.

What makes Databricks unique

  • Databricks offers a unified platform combining data lakes and warehouses, known as lakehouse.
  • The platform supports collaborative data science and machine learning workflows.
  • Databricks integrates with various cloud services for seamless data management and analysis.

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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