وصف الوظيفة
Role Overview
Customer Success Engineer at DataRobot. This is a post-sales technical role based at DataRobot's locations.
Company Overview
DataRobot delivers AI that maximizes impact and minimizes business risk. The 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.
Role Purpose
The Customer Success Engineer is responsible for driving adoption, consumption, and measurable outcomes from deployed GenAI applications. You serve as the technical bridge between developers and DataRobot's platform, ensuring customers maximize value. You 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
Onboarding & Adoption
- Accelerate onboarding and initial application adoption by guiding customers through first-use milestones.
- Enable key personas and resolve blockers to ensure consumption of initial apps deployed during onboarding.
- Facilitate onboarding workshops and training sessions for multiple user groups.
Consumption & Health Monitoring
- Monitor usage patterns and identify underutilized apps and stalled users.
- Engage with customers to increase activation and business impact.
- Actively track product usage, satisfaction, and success milestones to surface risk early.
- Coordinate mitigation plans for at-risk accounts.
Technical Enablement & Training
- Deliver targeted, scalable enablement sessions across accounts.
- Create reusable knowledge-sharing materials designed for diverse audiences.
- Accelerate initial group learning adoption to enable key personas to reach first-use milestones and overcome common blockers.
Use Case Value Realization & Advocacy
- Collaborate with Engagement Directors to ensure learning initiatives align with business goals.
- Capture feedback and outcomes for executive reviews.
- Act as the voice of the customer to DataRobot product and engineering teams.
- Channel technical requirements, gaps, and enhancement requests to internal stakeholders.
Qualifications & Experience
- 3-5+ years of experience in technical customer-facing roles (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.
- Extensive experience with the end-to-end machine learning lifecycle, including feature engineering, model training, evaluating accuracy and insights, and deploying models for inference.
Skills & Competencies
- Familiarity with AI platforms, application lifecycle management, and data-centric solution delivery.
- AI engineering expertise, including GenAI application development, prompt engineering, and knowledge of LLMs.
- Understanding of GenAI application architectures and LLM implementations.
- 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 supporting product adoption, managing customer success plans, and driving technical consumption.
- Familiarity with cloud infrastructure (AWS/Azure/GCP) and deployment patterns.
- Comfortable reading code and logs to diagnose technical issues.
- Professional proficiency in both Japanese and English, encompassing both written and verbal communication skills.
Additional Information
Benefits
- Medical, Dental & Vision Insurance.
- Flexible Time Off Program.
- Paid Holidays.
- Paid Parental Leave.
- Global Employee Assistance Program (EAP).
- Additional benefits depending on location and local legal requirements.
Company Culture
DataRobot's Operating Principles include: Wow Our Customers, Set High Standards, Be Better Than Yesterday, Be Rigorous, Assume Positive Intent, Have the Tough Conversations, Be Better Together, Debate Decide Commit, Deliver Results, and Overcommunicate.
Equal Employment Opportunity
DataRobot is an Equal Employment Opportunity and Affirmative Action employer committed to building a diverse and inclusive workplace. The company does not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.