Forward Deployed AI Engineer ensuring AI agents perform effectively post - deployment for better hiring decisions. Collaborating with customers to monitor and improve outcomes with AI tools.
About the role
- Customer Success Engineer ensuring adoption and measurable outcomes from DataRobot's GenAI applications. Collaborating with teams to optimize use cases and drive customer satisfaction.
Responsibilities
- 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 *’s 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.
Requirements
- 5+ years of experience in technical customer-facing roles (e.g., Solution Engineer, AI 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 supporting product adoption, managing customer success plans, and driving technical consumption
- Working knowledge of AI/ML concepts (model deployment, inference, fine-tuning)
- 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
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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