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DataRobotPosted 3 weeks ago

Customer Success Engineer

RemoteUnited Arab Emirates

Full TimeMedium

Job Summary

Guide customers through first-use milestones by enabling key personas, resolving blockers, and ensuring consumption of initial GenAI applications deployed during onboarding. Monitor usage, identify underutilized apps, and engage with customers to increase activation and business impact while actively tracking product usage and satisfaction to surface risk early. Facilitate onboarding workshops and training sessions for multiple user groups, delivering targeted enablement sessions and creating reusable knowledge-sharing materials. Act as the voice of the customer to DataRobot product and engineering teams, channeling technical requirements, gaps, and enhancement requests to accelerate time-to-value and reduce churn risk through continuous use case optimization.

Required Qualifications

  • 3-5+ years of experience in technical customer-facing roles (e.g., Solution Engineer, AI/ML Engineer, Technical CSM, App Developer) in SaaS or enterprise software
  • Bachelor's degree in a technical, business, or related field
  • Familiarity with AI platforms, application lifecycle management, or data-centric solution delivery
  • AI Engineering to include GenAI application development, prompt engineering, and knowledge of LLMs
  • Strong presentation and communication skills, with the ability to engage both business users and technical stakeholders
  • Proven ability to translate complex technical functionality into measurable business outcomes
  • Experience in 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, evaluating accuracy and insights, and deploying models for inference
  • Understanding of GenAI application architectures and LLM implementations
  • Familiarity with cloud infrastructure (AWS/Azure/GCP) and deployment patterns
  • Comfortable reading code/logs to diagnose technical issues
  • Professional proficiency in both Japanese and English, encompassing both written and verbal communication skills

Desired Qualifications

  • advanced degree a plus

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