Senior Customer Success Engineer

Dataiku is the Platform for AI Success, empowering organizations to run AI across multi-vendor environments. As a Senior Customer Success Engineer, you will focus on technical programming to enhance product adoption and user engagement, while also defining strategies for the Lower Enterprise segment.

Responsibilities:

• 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

Requirements:

• Minimum of two years in sales engineering, technical consulting, or data science roles with a track record of customer satisfaction
• Ability to navigate ambiguity, build consensus, and work with urgency to define a new segment's success
• Strong written and oral presentation skills, with the ability to tailor messaging to both no-code and high-code users
• A knack for engaging with all levels of customer teams, from individual contributors to leadership
• Willingness to travel up to 25% across the AMER region
• Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, or SQL
• Dataiku Advanced Designer, Snowflake SnowPro Core, or Databricks Business Analyst certifications
• Experience building and operating communities of practice or scalable post-sales programs
• A never-ending desire to learn new solutions and translate features into business value