Enterprise Account Executive

Posted:
10/16/2024, 2:42:24 AM

Location(s):
North Holland, Netherlands ⋅ Amsterdam, North Holland, Netherlands

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
Sales & Account Management

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. 

 

This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our platform DSS. The Enterprise Account Executive is responsible for the entire sales cycle, while being able to leverage various company resources, to reach a successful collaboration with the prospect. The Account Executive is likely to work cross functionally with Marketing, Product Management and Engineering.Responsibilities include (but are not limited to):
  • Educating customers on the value of Dataiku in a thoughtful way
  • Driving revenue through proactive outreach to existing customers
  • Providing recommendations based on a customer’s business needs and usage patterns
  • Managing multiple customers simultaneously at various stages of the Dataiku buying cycle
  • Strong ability to develop a C-Level vision match with prospects and customers, to develop alignment across different groups and cultivate champions
  • Background in selling innovation and new concepts to large Enterprises
  • Handling inbound customer communication and organizing/escalating issues appropriately, including: billing, legal, security, and technical inquiries
  • Serving as the voice of the customer and collecting feedback to drive continuous improvement across all areas including product
  • Other duties as assigned from time to time
Success Profile:
  • 5-7 years’ experience in software field sales, or other relevant sales experience
  • Background in selling innovation and new concepts to large enterprises
  • Strong ability to develop a vision match with prospects and customers, to develop alignment across different groups and cultivate champions
  • Good articulation of competitive positioning
  • Domain expertise in big data, analytics, data science, BI/DW, data integration preferred
  • Possesses advanced interpersonal communication skills
  • Is adaptable with a growth mindset
 
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: [email protected]

Dataiku

Website: https://www.dataiku.com/

Headquarter Location: Paris, Ile-de-France, France

Employee Count: 501-1000

Year Founded: 2013

IPO Status: Private

Last Funding Type: Series F

Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Big Data ⋅ Data Integration ⋅ Enterprise Software