[Remote] Senior Customer Success Engineer
Note: The job is a remote job and is open to candidates in USA. Dataiku is the Platform for AI Success, empowering organizations to run AI across multi-vendor environments with centralized governance. The Senior Customer Success Engineer will focus on enhancing customer engagement and adoption of Dataiku's analytics and AI solutions through onboarding, training, and ongoing support.
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 within the Dataiku platform
- 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 touchpoints 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 engagements with the Dataiku platform and identify opportunities for expansion (both software and professional services) that can drive additional value for customers
- 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%
Skills
- 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
- Willingness to travel up to 25%
- Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications preferred (not required)
- Preferably located within the Northeast region of the United States
- 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 (preferred but not required)
Benefits
- Commission or other variable compensation through Dataiku's incentive compensation program
- 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
Company Overview
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