Customer Success Engineer, DataRobot
$125-180k
OTE
Value-Driven AI for business
Be an early applicant
Value-Driven AI for business
501-1000 employees
Be an early applicant
$125-180k
OTE
501-1000 employees
Company mission
To change the way businesses all over the world make their most important decisions.
Role
Who you are
- 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
- 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
What the job involves
- The Customer Success Engineer is a post-sales technical expert responsible for driving adoption, consumption, and measurable outcomes from deployed GenAI applications
- Customer Success Engineers serve as the technical bridge between developers and DataRobot’s platform, ensuring customers maximize value from using DataRobot
- They 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
- 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 <insert company name>’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
Our take
DataRobot is an enterprise AI platform that helps business analysts develop predictive analytics without requiring any knowledge of programming or machine learning. The platform uses machine learning to build and distribute accurate predictive models quickly by automating users' end-to-end journeys.
Unlike its competitors, such as Domino Data Lab, Captricity, and Datameer, DataRobot's primary selling point is its extensibility. Depending on the job function or comfort level users opt for, they have the option to take complete control of their workflow. Business analysts are free to use the platform as a wizard, but more experienced data scientists have the opportunity to alter many parameters in order to develop precise models.
DataRobot's customers have developed over 500 million models on the DataRobot Cloud on AWS after it earned Amazon Web Services (AWS) ML Competency status. By selling its AI toolkits to more than a third of the Fortune 50, including Kroger, Nationwide, and Lenovo, the company has continued to go from strength to strength and has been recognised as a leader in the space.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-35% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Jun 2021
$300m
SERIES G
Dec 2020
$50m
SERIES F
Total funding: $1.1bn
Company benefits
- Medical, Dental & Vision Insurance
- Flexible Time Off Program
- Paid Holidays
- Paid Parental Leave
- Global Employee Assistance Program (EAP)
- Work from Home Opportunities
- A World-class Team
- Company Outings
- Open Door Policy
Company HQ
Financial District, Boston, MA
Leadership
Debanjan Saha
(CEO)Previously the VP of Data Analytics at Google and VP of managed database services at Amazon.
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