Customer Success Engineer

DataRobot

Customer Success Engineer driving GenAI application adoption and measurable outcomes for DataRobot’s AI platform customers. Enabling users, optimizing use cases, and translating technical capabilities into business value.

Posted 8/4/2026full-timeRemote • 🇦🇪 United Arab EmiratesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in technical customer engagement, focusing on AI platform adoption and application development. Proficient in facilitating onboarding, driving product usage, and translating technical functionalities into business outcomes.

Highest-signal resume keywords

Technical Customer Success ManagementGenAI Application DevelopmentMachine Learning Lifecycle ManagementAWS, Azure, or GCP FamiliarityStrong Presentation and Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GenAI Application DevelopmentMachine Learning Lifecycle ManagementFeature EngineeringModel TrainingAccuracy EvaluationInsight GenerationModel DeploymentPrompt EngineeringApplication Lifecycle ManagementTechnical Issue Diagnosis

Soft Skills

Strong Presentation SkillsEffective Communication Skills

Tools & Technologies

DataRobot AI PlatformAWSAzureGCP

Industry Keywords

Technical Customer-Facing RolesCustomer Success PlansProduct AdoptionOnboarding WorkshopsKnowledge Sharing Materials

Tech Stack

Tools & technologies

AWSAzureGoogle Cloud Platform

About the role

Key responsibilities & impact

Guide customers through first-use milestones by enabling key personas, resolving blockers, and ensuring consumption of initial applications deployed during onboarding
Monitor usage, identify underutilized applications and stalled users, and increase activation and business impact
Track product usage, satisfaction, and success milestones to surface risk and coordinate mitigation plans
Represent customer technical requirements, gaps, and enhancement requests to product and engineering teams
Facilitate onboarding workshops and training sessions for multiple user groups
Deliver targeted, scalable enablement sessions and create reusable knowledge-sharing materials
Collaborate with Engagement Directors to align learning initiatives with business goals and capture feedback and outcomes for executive reviews
Serve as the technical bridge between customers, developers, and DataRobot’s AI platform
Work with Account Owners, Engagement Directors, and Professional Services teams to accelerate time-to-value, support expansion, and reduce churn risk

Requirements

What you’ll need

3–5+ years of experience in technical customer-facing roles such as Solution Engineer, AI/ML Engineer, Technical CSM, or Application Developer
Bachelor's degree in a technical, business, or related field, or equivalent practical experience
Familiarity with AI platforms, application lifecycle management, or data-centric solution delivery
GenAI application development, prompt engineering, and knowledge of LLMs
Strong presentation and communication skills for business users and technical stakeholders
Ability to translate complex technical functionality into measurable business outcomes
Experience supporting product adoption, managing customer success plans, and driving technical consumption
Extensive experience with the end-to-end machine learning lifecycle, including feature engineering, model training, accuracy evaluation, insight generation, and model deployment for inference
Understanding of GenAI application architectures and LLM implementations
Familiarity with AWS, Azure, or GCP and deployment patterns
Comfortable reading code and logs to diagnose technical issues
Professional proficiency in Japanese and English, written and verbal

Benefits

Comp & perks

Medical, Dental & Vision Insurance
Flexible Time Off Program
Paid Holidays
Paid Parental Leave
Global Employee Assistance Program (EAP)