Senior Customer Success Engineer

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog , LinkedIn , X , and YouTube . Dataiku is focused on delivering meaningful outcomes with business analytics, AI/ML, and Gen AI. As a Senior Customer Success Engineer (CSE) within our Solutions Engineering team, you'll focus on technical programming to increase adoption through product enablement and one-to-many user engagement. In this founding role for our Lower Enterprise segment, you will be the first CSE hire dedicated to customers with annual revenues between $1B and $10B . Covering all customers across AMER , we are looking for creative problem-solving to help build scalable frameworks that support a high volume of accounts. This role offers high flexibility and high expectations, as you will define the segment's strategy and help pave the way for future continental leadership opportunities. How You’ll Make an Impact Define the Blueprint: Help define the role, building programs and automations for repeatable, scalable use across AMER. Scale through Innovation: Develop and A/B test enablement programs to identify the most effective ways to drive user adoption and satisfaction at scale. Technical Enablement: Execute demonstrations of new product features and conduct hands-on workshops in collaboration with Sales Engineers. Drive Adoption: Focus on onboarding and increasing user retention by educating customers on best practices within the Dataiku platform. Strategic Advisory: Establish regular touchpoints to advise users on applying Dataiku to their specific business needs and use cases. Evangelism Use Case Documentation: Execute programs to create self-sustaining enablement and "communities of practice" within customer accounts, capture and document client use cases and stories to share the impact of their work. Expansion Growth: Collaborate with Account Executives and Sales Engineers to identify expansion opportunities that drive additional value. What You’ll Need to Be Successful Foundational Experience: Minimum of two years in sales engineering, technical consulting, or data science roles with a track record of customer satisfaction. Entrepreneurial Mindset: Ability to navigate ambiguity, build consensus, and work with urgency to define a new segment's success. Communication Excellence: Strong written and oral presentation skills, with the ability to tailor messaging to both no-code and high-code users. Public Speaking: A knack for engaging with all levels of customer teams, from individual contributors to leadership. Travel: Willingness to travel up to 25% across the AMER region. What Will Make You Stand Out Technical Proficiency: Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, or SQL. Platform Certifications: Dataiku Advanced Designer, Snowflake SnowPro Core, or Databricks Business Analyst certifications. Strategic Vision: Experience building and operating communities of practice or scalable post-sales programs. Intellectual Curiosity: A never-ending desire to learn new solutions and translate features into business value. Compensation and Benefits The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, ... (truncated, view full listing at source)