Browse All Jobs

Dataiku, a pioneering AI platform company, is seeking a Sales Engineer I to join their team in Italy. This role involves collaborating with the sales team to qualify deals, conduct discovery meetings, and articulate usage scenarios that demonstrate the business value of Dataiku to customers.

The Sales Engineer will design and create demonstrations, Proofs-of-Concept (POCs), and evaluations, providing technical guidance and answering questions from the customer's technical team. They will also assist in sales pipeline building activities and provide regular updates to support accurate forecasting.

Role Involves:

  • Qualifying deals with the sales team
  • Conducting discovery meetings to understand customer requirements
  • Articulating usage scenarios that demonstrate business value
  • Designing and creating Dataiku demonstrations and POCs
  • Executing demonstrations and evaluations
  • Providing technical guidance to customers
  • Assisting in sales pipeline building activities
  • Providing regular updates for forecasting

Requirements:

  • Strong natural and intellectual curiosity
  • Experience in technical pre-sales, preferably in a high-growth environment
  • Experience in value orientated selling of product and platform solutions
  • Familiarity with data storage and computing infrastructure
  • Comfortability talking to all levels of customer teams
  • Experience in Analytics/AI or other enterprise software
  • Fluent in Italian & English

What Dataiku Offers:

  • Opportunity to shape the future of AI
  • A company that values innovation, collaboration, and personal growth
Apply

Dataiku

Dataiku, founded in Paris in 2013, is a leading AI platform provider enabling Everyday AI. The company empowers both data experts and domain experts to collaboratively integrate AI into daily operations. Its platform supports a range of AI activities, from advanced analytics to generative AI. With a global presence of over 1,000 employees across 25 countries, Dataiku is backed by prominent investors and focuses on making data accessible and actionable for enterprise-wide AI adoption.