We are looking for a Sales Engineer to join our growing team in London. With a background in Data Science, you will be operating as a sales engineer running your own opportunities (together with the opportunity team) while acting as a sparring partner, supporting your team with any in-depth Data Science challenges or conversations on their opportunities.
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
#LI-Hybrid #LI-SC1
