Customer Success Engineer

DataRobot; Dubai; On-site; AED 200,000 - 420,000; Full time

Job summary

DataRobot Dubai seeks a Customer Success Engineer, a post-sales technical expert responsible for driving adoption and measurable outcomes from GenAI applications deployed on the DataRobot platform. You will work with Account Owners, Engagement Directors, and Professional Services to accelerate time-to-value, reduce churn, and enable multiple user groups through targeted workshops and scalable enablement.

The role requires strong English and Japanese communication, AI technology familiarity, and

Qualifications

• 3–5+ years in technical customer-facing roles.
• Bachelor's degree in a technical field.
• Experience in SaaS or enterprise software.

Responsibilities

• Onboard customers and drive initial app adoption during onboarding.
• Monitor usage and increase activation and business impact.
• Monitor customer health and mitigate risks early.
• Represent customer voice to DataRobot product and engineering teams.
• Lead onboarding workshops for multiple user groups.
• Deliver scalable enablement sessions and create reusable materials.
• Align learning initiatives with business goals and capture outcomes.

Skills

AI platforms familiarity

GenAI development

Prompt engineering

LLMs

Communication skills

Customer success

ML lifecycle

Cloud infrastructure

Japanese language

English language

SaaS experience

Education

Bachelor's degree in a technical field

Tools

AWS

Azure

GCP

Job description

DataRobot delivers AI that maximizes impact and minimizes business risk Our platform and applications integrate into core business processes so teams can develop deliver and govern AI at scale DataRobot empowers practitioners to deliver predictive and generative AI and enables leaders to secure their AI assets Organizations worldwide rely on DataRobot for AI that makes sense for their business today and in the future

The Customer Success Engineer is a post-sales technical expert responsible for driving adoption consumption and measurable outcomes from deployed GenAI applications Customer Success Engineers serve as the technical bridge between developers and DataRobot s platform ensuring customers maximize value from using DataRobot They work closely with Account Owner Engagement Directors and Professional Services teams to accelerate time-to-value support expansion motions and reduce churn risk through continuous enablement and use case optimization

Key Responsibilities

• Accelerate Onboarding amp Initial Application Adoption Guide customers through first-use milestones by enabling key personas resolving blockers and ensuring consumption of initial apps deployed during onboarding
• Drive Ongoing Consumption Monitor usage identify underutilized apps stalled users and engage with customers to increase activation and business impact
• Customer Health Monitoring Actively track product usage satisfaction and success milestones to surface risk early and coordinate mitigation plans
• Technical Advocacy amp Solution Feedback Act as the voice of the customer to DataRobot product and engineering teams channeling technical requirements gaps and enhancement requests
• Accelerate Initial Group Learning Adoption Facilitate onboarding workshops and training sessions for multiple user groups enabling key personas to reach first-use milestones and overcome common blockers
• Technical Enablement amp Training Deliver targeted scalable enablement sessions and create reusable knowledge-sharing materials designed for diverse audiences across accounts
• Use Case Value Realization Collaborate with Engagement Directors to ensure learning initiatives align with business goals and capture feedback and outcomes for executive reviews

Qualifications

• Familiarity with AI platforms, application lifecycle management, or data‑centric solution deliveryAI Engineering to include GenAI application development, prompt engineering, and knowledge of LLMsStrong presentation and communication skills, with the ability to engage both business users and technical stakeholdersProven ability to translate complex technical functionality into measurable business outcomesExperience in supporting product adoption, managing customer success plans, and driving technical consumptionExtensive experience with the end‑to‑end machine learning lifecycle, including feature engineering, model training, evaluating accuracy and insights, and deploying models for inferenceUnderstanding of GenAI application architectures and LLM implementationsFamiliarity with cloud infrastructure (AWS/Azure/GCP) and deployment patternsComfortable reading code/logs to diagnose technical issuesProfessional proficiency in both Japanese and English, encompassing both written and verbal communication skills3-5+ years of experience in technical customer‑facing roles (e.g., Solution Engineer, AI/ML Engineer, Technical CSM, App Developer) in SaaS or enterprise softwareBachelor's degree in a technical, business, or related field (or equivalent practical experience); advanced degree a plus