Role Overview
Dataiku is hiring a mid-level Customer Success Engineer. This is a full-time remote role, with the team based in United States, Remote. Part of Dataiku's Data Science hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
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 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: 0-1 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.
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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, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including 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, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
Frequently Asked Questions
How do I apply for the Customer Success Engineer position at Dataiku?
Use the Apply button above to submit your application directly to Dataiku. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Is the Customer Success Engineer role at Dataiku remote?
Yes. This is a remote role. The team is based in United States, Remote, but the position itself does not require relocating to that office.
What does a Customer Success Engineer at Dataiku earn?
Dataiku has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Customer Success Engineer role at Dataiku posted?
This role was posted on April 22, 2026 (62 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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