Dataiku is looking for a Senior Customer Success Engineer (CSE) to join our Solutions Engineering team. In this technical and consultative customer-facing role, you will help Dataiku's customers achieve meaningful outcomes with business analytics, AI/ML, and Gen AI. You will focus on technical programming to increase product adoption through enablement and user engagement.

Responsibilities

Work closely with Dataiku’s customers, focusing on onboarding, increasing user adoption, retention, and satisfaction.
Possess deep technical knowledge of the Dataiku platform to educate customers on best practices.
Develop a deep understanding of customer business, use cases, and outcomes to guide their success with Dataiku's products and services.
Execute demonstrations of new product features and conduct hands-on workshops in collaboration with Sales Engineers.
Establish regular touchpoints with customers to advise users on Dataiku for their specific business needs, including hands-on support.
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 and identify expansion opportunities.
Document and share adoption status and key information to inform internal forecasting and renewal.
Collaborate with other Dataiku functions (such as marketing) on capturing and sharing 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 Dataiku’s products, competitive landscape, and data science trends.
Willingness to travel up to 25%.

Requirements

Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field.
Minimum of four 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.
Preferably located within the Northeast region of the United States.

Nice to Have

Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications.
Never-ending intellectual curiosity, 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.