Customer Success Engineer

DataRobot

Customer Success Engineer driving adoption and measurable outcomes from deployed GenAI applications. Collaborating across various teams to support customers' engagement with DataRobot's AI platform.

Posted 5/13/2026full-timeRemote • Massachusetts • 🇺🇸 United StatesMid-LevelSenior💰 $125,000 - $180,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Guide customers through first-use milestones by enabling key personas, resolving blockers, and ensuring consumption of initial apps deployed during onboarding.
Monitor usage, identify underutilized apps / stalled users, and engage with customers to increase activation and business impact.
Actively track product usage, satisfaction, and success milestones to surface risk early and coordinate mitigation plans.
Act as the voice of the customer to product and engineering teams, channeling technical requirements, gaps, and enhancement requests.
Facilitate onboarding workshops and training sessions for multiple user groups, enabling key personas to reach first-use milestones and overcome common blockers.
Deliver targeted, scalable enablement sessions and create reusable knowledge-sharing materials designed for diverse audiences across accounts.
Collaborate with Engagement Directors to ensure learning initiatives align with business goals and capture feedback and outcomes for executive reviews.

Requirements

What you’ll need

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
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

Comp & perks

Medical, Dental & Vision Insurance
Flexible Time Off Program
Paid Holidays
Paid Parental Leave
Global Employee Assistance Program (EAP) and more!

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI platformsapplication lifecycle managementdata-centric solution deliveryAI/ML conceptsmodel deploymentinferencefine-tuningGenAI application architecturesLLM implementationscloud infrastructure

Soft Skills

presentation skillscommunication skillscustomer engagementtechnical translationcustomer success managementproblem-solvingcollaborationtraining facilitationfeedback capturerisk management