Enterprise Account Executive
Central
Posted on 2/8/2024
Dataiku

1,001-5,000 employees

Enterprise AI & ML platform
Company Overview
Dataiku’s mission is to pioneer everyday AI by helping everyone in an organization – from technical teams to business leaders – use data to make better decisions and drive business value on a daily basis. The company has developed a platform that systemizes the use of data and AI to enable organizations to customize, share, and reuse AI components and apps to easily deliver high-quality projects and streamline the path to production.
AI & Machine Learning
Data & Analytics

Company Stage

Series F

Total Funding

$1.2B

Founded

2013

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

-2%

1 year growth

-5%

2 year growth

30%
Locations
Chicago, IL, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Sales
Data Science
Marketing
Data Analysis
CategoriesNew
Sales & Account Management
Data & Analytics
Requirements
  • 10+ years experience in software field sales
  • Strong belief in a customer centric selling philosophy and applying a consultative approach in customer interactions
  • Background in selling innovation and new concepts to large Enterprises
  • Strong ability to develop a vision match with prospects and customers, to develop alignment across different groups and cultivate champions
  • Good articulation of competitive positioning
  • Comfortable traveling 30 to 50%
  • Experience in ‘data’ – big data, analytics, data science, BI/DW, data integration
  • Early start-up experience a plus!
Responsibilities
  • Engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our platform, Dataiku
  • Responsible for the entire sales cycle, while being able to leverage various company resources, to reach a successful collaboration with the prospect
  • Likely to work cross functionally with Marketing, Product Management and Engineering
Desired Qualifications
  • Experience in ‘data’ – big data, analytics, data science, BI/DW, data integration
  • Early start-up experience