Customer Success Engineer at Dataiku in Remote

Summary: Dataiku is the Platform for AI Success, focusing on delivering meaningful outcomes with business analytics, AI/ML, and Gen AI. As a Customer Success Engineer, you will enhance product adoption through technical programming and user engagement while 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 Required Qualifications: - 0-1 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 Preferred Qualifications: - 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 Required Skills: SQL, Kubernetes, Python, R, Dataiku Advanced Designer Certification, Snowflake SnowPro Core Certification, Databricks Business Analyst Certification, Technical Consulting, Sales Engineering, Data Science, Public Speaking, Entrepreneurial Mindset Benefits: Stock options, Medical, dental, and vision plans, Flexible spending accounts, Pre-tax commuter benefits, A 401k company match, Paid vacations and sick leave, Paid parental leave, Employer paid disability coverage, Additional health and wellbeing perks and benefits