Dataiku

Senior Customer Success Engineer

Dataiku

full-time

Posted on:

Origin:  • 🇬🇧 United Kingdom

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Job Level

Senior

Tech Stack

KubernetesPythonSQL

About the role

  • Work closely with Dataiku’s customers, focusing on onboarding and 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 the Sales Engineers
  • Establish regular touch points 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 engagement and identify opportunities for expansion
  • 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 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 two years of experience in sales engineering, technical or solutions consulting, post-sales technical delivery, or data science roles
  • 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)
  • Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, SQL
  • Knack for public speaking and engaging with all levels of customer teams
  • Experience in Analytics/AI or other enterprise software (preferred)
  • Experience in technical pre-sales or post-sales, preferably in a high-growth environment (preferred)