The fastest path to value with AI
Customer Success Engineer
Location
Japan
Posted
11 days ago
Salary
0
Seniority
Senior
Job Description
Customer Success Engineer
DataRobot
• Accelerate Onboarding & 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 & 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 & 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.
Job Requirements
- 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); advanced degree a plus
- 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.
Benefits
- Medical, Dental & Vision Insurance
- Flexible Time Off Program
- Paid Holidays
- Paid Parental Leave
- Global Employee Assistance Program (EAP) and more!
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