Who you are

• 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
• Bachelor’s or Master’s program focused on: Statistics, Computer Science, or a related field

What the job involves

• 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
• 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 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

Benefits

• Our flexibility benefits include: ➔ Time off for R&R & Wedding time off ➔ Public holidays specific to your location ➔ For most teams, a hybrid work policy, which allows each Dataiker to spend as few as one and as many as five days a week in the office. ➔ A work from almost anywhere policy that allows employees to work from their place of choice up to four weeks per year.
• Family benefits: ➔ 12 weeks of paid parental leave within the first year of birth/adoption
• Building and supporting our community is at the heart of our values. We've developed our Ikigai.AI program (AI for good) to support the community and encourage our employees to give back to the causes they care about. We offer: ➔ Volunteering opportunities coordinated by our social responsibility team ➔ Additional paid time off to volunteer
• ➔ Technology stipend for WFH such as mobile, internet, and equipment reimbursement
• ➔ We regularly organise office happy hours in offices and virtual