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Dataiku
Sales Engineer
salesfull-timeItaly, Remote
SALARY
Not listed
WORK TYPE
hybrid
JOB TYPE
full-time
INDUSTRY
ai
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About the role
How you'll make an impact
- Qualify deals through collaboration with the Account Executive (AE), the Business Development Representative (BDR), and sales management.
- Conduct Discovery meetings and learn from the customer and the BDR 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 projects and execute Dataiku demonstrations that clearly illustrate how to apply data science techniques within our software to deliver the required customer value.
- Plan and execute Proof-Of-Concepts (POC), and evaluations through coordination of resources and co-development of data science projects with our prospective customers. 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 solution.
- 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.
What you'll need to be successful
- Being based or willing to relocate to Milan, Italy
- English - fluent; Spanish and Italian - fluent/native
- Strong natural and intellectual curiosity, especially around the application of technology to solve all kinds of problems
- Experience in the data science, analytics, or big data markets is preferred
- 5+ years of experience with predictive modelling and an understanding of relational data structures and SQL
- Programming in Python/R would be a bonus
- Experience working with cloud infrastructures (AWS, GCP, Azure)
- Experience in Analytics/AI or other enterprise software
- Experience in technical pre-sales or other client-facing roles (consulting, etc.)
- Comfortable talking to all levels
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