Customer Success Engineer - France
Customer Success Engineer - France
Posted on :
29-08-2025
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1 Vacancy
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Job Description
Dataiku is The Universal AI Platform giving organizations control over their AI talent processes and technologies to unleash the creation of analytics models and agents. Providing no- low- and full-code capabilities Dataiku meets teams where they are today allowing them to begin building with AI using their existing skills and knowledge.
Delivering Customer Success is an important focus for Dataiku. As a Customer Success Engineer (CSE) within our Solutions Engineering team youll help Dataikus Emerging Enterprise customers achieve meaningful outcomes with business analytics AI/ML and Gen AI.
In this technical and consultative customer-facing role youll focus on technical programming to increase adoption through product enablement and one-to-many user engagement. Youll leverage your understanding of enterprise analytics high-impact communication abilities and hands-on data science skills to add business value. This role will also partner closely with cross-functional teams including Account Executives Sales Engineers and Professional Services and Partners to accelerate end-user adoption.
How youll make an impact
- Work closely with Dataikus customers in Emerging Enterprise focusing on onboarding increasing user adoption retention and satisfaction.
- Possess deep technical knowledge of the Dataiku platform to educate customers on best practices within the Dataiku platform.
- Develop a deep understanding of customer business use cases and outcomes to guide their success with Dataikus products and services.
- Execute demonstrations of new product features and conduct hands-on workshops in collaboration with the Sales Engineers.
- Establish regular touchpoints with customers to advise users on using Dataiku for their specific business needs including hands-on support as appropriate.
- Execute programs to create self-sustaining enablement and evangelism of Dataiku within customer accounts.
- Collaborate with Account Executives and Sales Engineers to drive customer engagements with the Dataiku platform and identify opportunities for expansion (both software and professional services) that can drive additional value for customers.
- Document and share the adoption status and key information to inform internal forecasting and renewal.
- Collaborate with other Dataiku functions (such as marketing) on capturing and sharing the customer stories publicly.
- When identifying technical issues that block user adoption coach administrators and users to initiate support tickets for timely resolution.
- Stay current on Dataikus products competitive landscape and data science trends.
- Willingness to travel up to 25%
What youll need to be successful
- Bachelors degree in Data Science Business Analytics Statistics Computer Science or a related technical field.
- Minimum of two years of experience in sales engineering technical or solutions consulting post-sales technical delivery or data science roles with a proven track record of customer trust and satisfaction.
- Strong written and oral presentation skills capable of engaging both business and technical stakeholders.
- Strong technical analytical and problem-solving skills.
- Experience in building and operating communities of practice.
- Ability to navigate ambiguity build consensus foster accountability and work with urgency to deliver customer outcomes.
- Ability to tailor messaging to personas with varying levels of technical acumen including no-code and high-code users
- Dataiku advanced designer Snowflake SnowPro Core and Databricks Business Analyst certifications preferred (not required).
What will make you stand out
- Never-ending intellectual curiosity are detail-oriented and analytical.
- Hands-on experience with data storage and computing infrastructure (SQL Kubernetes etc.) and proficiency with Python R SQL
- Knack for public speaking with appreciation for engaging with all levels of customer teams from individual contributors to leadership.
- Passion for technology the data and analytics space and enjoyment learning new solutions features and functionalities translating these into business value for customers.
- Experience in Analytics/AI or other enterprise software (preferred but not required).
- Experience in technical pre-sales or post-sales preferably in a high-growth environment (preferred but not required).
#LI-Hybrid #LI-SC1
What are you waiting for!
At Dataiku youll be part of a journey to shape the ever-evolving world of AI. Were not just building a product; were crafting the future of AI. If youre ready to make a significant impact in a company that values innovation collaboration and your personal growth we cant wait to welcome you to Dataiku! And if youd 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 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:
Protect yourself from fraudulent recruitment activity
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 activityhere.
Employment Type
Full Time
Key Skills
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