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Sales Engineer
Posted on 1/17/2023
Remote • United States
Experience Level
  • Experience working with and passion for commercial (SMB) customers
  • Strong natural and intellectual curiosity especially around the application of technology to solve all kinds of problems
  • Experience in technical pre-sales, preferably in a high-growth environment
  • Experience in the data science, analytics, or big data markets preferred but not required
  • Comfortability talking to all levels of customer teams from individual contributors to C-level executives
  • Qualify deals through collaboration with the Account Executive (AE), the Sales Development Representative (SDR), and sales management
  • Conduct Discovery meetings and learn from the customer and the SDR about the customer's business requirements and technical environment
  • Articulate to the Opportunity Team and to the customer usage scenarios that illustrate the business value desired by the customer
  • Use Dataiku to demonstrate the business value articulated in the usage scenarios
  • Design and create Dataiku additional demonstrations, Proofs-of-Concept (POC), and evaluations that clearly illustrate how to apply Dataiku to deliver the required customer value
  • Execute demonstrations, POCs, and evaluations through coordination of the physical and human resources of Dataiku and the customer. Lead the combined team to carry out the agreed upon course of action to prove that Dataiku delivers the needed value better than our competitors
  • Answer questions and provide technical guidance to the customer's technical team regarding the demonstrated or evaluated solutions
  • Assist in sales pipeline building activities including attendance at live and/or virtual trade-shows and industry conferences, working with marketing and or partners on campaign design and execution and other activities specified by sales and pre-sales management

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.
  • Health, life & pension benefits
  • Equity
  • Time off for R&R
  • Public holidays
  • Work from anywhere policy (unique to team)
  • 12 weeks of paid parental leave
  • Volunteering opportunities
  • Career Development opportunities
  • Technology stipend
  • Onsite meals & healthy snacks
  • Office happy hours
  • Company-wide events
Company Core Values
  • Diversity of People & Perspectives
  • Tolerance & Open-Mindedness
  • Accountable Camaraderie
  • Work-Life Balance
  • Dedication to Learning
  • Conscious Long-Term Responsibility