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Sales Engineer - Netherlands

extra holidays - extra parental leave - fully flexible

Remote:

Full Remote

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Offer summary

Qualifications:

Experience in technical pre-sales., Familiarity with data science or analytics., Comfort talking to C-level executives., Strong curiosity about technology applications..

Key responsabilities:

Qualify deals and conduct Discovery meetings.
Demonstrate the business value of Dataiku solutions.

Dataiku Information Technology & Services SME http://dataiku.com

1001 - 5000 Employees

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Job description

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.

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.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
Provide regular updates on your activities to support accurate regional forecasting, participate in continuous development activities that expand or build on your knowledge and skills with new product releases, GTM programs and initiatives & relevant enablement sessions, participate in departmental activities like GTM or SE offsites.

What You’ll Need To Be Successful

Strong natural and intellectual curiosity especially around the application of technology to solve all kinds of problems, with the confidence to ask deep questions to understand prospective customer’s current and desired future state.
Experience in technical pre-sales, preferably in a high-growth environment
Experience in value orientated selling of product and platform solutions.
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

#LI-AS

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 Dataiku LinkedIn page.

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: reasonable-accommodations@dataiku.com

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Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.