Customer Success Engineer
Salary not listed • Remote • Remote Dubai • Full-time
Posted 22d ago
Remote Work Policy
Fully remote
Employment Type
Full-time
Categories
AI Engineer
About the job
DataRobot is seeking a Customer Success Engineer, a post-sales technical expert focused on driving adoption and measurable outcomes from deployed GenAI applications. This role acts as a technical bridge between customers and DataRobot's platform, ensuring clients maximize value. You will collaborate with account teams to accelerate time-to-value, support expansion, and reduce churn through continuous enablement and use case optimization.
Responsibilities
- Guide customers through initial application adoption and first-use milestones.
- Monitor usage and engage customers to increase activation and business impact.
- Track product usage, satisfaction, and success milestones to identify and mitigate risks.
- Act as a customer advocate to product and engineering teams, relaying technical requirements and feedback.
- Facilitate onboarding workshops and training sessions for various user groups.
- Deliver scalable enablement sessions and create reusable knowledge-sharing materials.
- Collaborate with engagement directors to align learning initiatives with business goals and capture outcomes.
Requirements
- Familiarity with AI platforms, application lifecycle management, or data-centric solution delivery.
- AI Engineering experience, including GenAI application development, prompt engineering, and LLMs.
- Strong presentation and communication skills for engaging business 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 (feature engineering, model training, evaluation, 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.
- 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, or equivalent practical experience.
Benefits
- Medical, Dental & Vision Insurance
- Flexible Time Off Program
- Paid Holidays
- Paid Parental Leave
- Global Employee Assistance Program (EAP)