At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.
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
What are you waiting for!At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our . Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at:
