Senior Sales Engineer, East

Dataiku • Full-time • United States, New York • 1w ago

If you're ready to take your pre-sales career to the next level, the Dataiku Sales Engineering team would like to hear from you. Together, we've built a team that has closed some of Dataiku's most important sales with companies whose names you hear and products you use everyday. We do it by working together to serve our customers in ways that ensure their success.

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 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

What you'll need to be successful

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
Familiarity with data storage and computing infrastructure for data of all sizes (SQL, NoSQL, Kubernetes, Spark, etc)
Comfortability talking to all levels of customer teams from individual contributors to C-level executives
Experience in Analytics/AI or other enterprise software
Previously worked in a fast paced, growing company