Job Overview
Location
Remote
Job Type
Full-time
Category
Customer Success Manager
Date Posted
January 28, 2026
Full Job Description
đź“‹ Description
- • As a Technical Success Manager at DataRobot, you will be at the forefront of our post-sales technical engagement, acting as the critical bridge between our customers' development teams and the powerful DataRobot platform. Your primary mission is to ensure customers not only adopt but deeply integrate and derive measurable business value from our deployed Generative AI (GenAI) applications. This role is pivotal in maximizing customer impact and minimizing business risk by ensuring they leverage our AI solutions to their fullest potential.
- • You will be instrumental in accelerating the onboarding process for new customers, guiding key personas through initial milestones and ensuring the successful consumption of the GenAI applications deployed during their onboarding. This involves proactively identifying and resolving any technical blockers that might impede progress, ensuring a smooth and efficient start to their DataRobot journey.
- • A core responsibility is driving ongoing consumption of DataRobot's solutions. You will actively monitor product usage patterns, identify applications that are underutilized, and pinpoint users who may be experiencing stalled progress. Through proactive engagement, you will work to increase activation rates and demonstrate the tangible business impact our platform delivers.
- • Customer health monitoring is paramount. You will continuously track product usage, gauge customer satisfaction, and monitor the achievement of success milestones. This vigilant approach allows for the early identification of potential risks, enabling you to coordinate and implement effective mitigation plans before they escalate.
- • You will serve as a crucial technical advocate for our customers. By channeling their technical requirements, identifying gaps in functionality, and gathering feedback on enhancement requests, you will act as the voice of the customer to our product and engineering teams. This feedback loop is vital for the continuous improvement and evolution of the DataRobot platform.
- • Facilitating initial group learning and adoption is key. You will lead onboarding workshops and training sessions tailored for diverse user groups within customer organizations. Your expertise will empower key personas to reach their first-use milestones and overcome common technical hurdles, fostering a culture of AI proficiency.
- • Delivering targeted and scalable technical enablement and training is a significant part of your role. You will develop and deliver engaging sessions, and create reusable knowledge-sharing materials designed to cater to a wide range of audiences, from technical practitioners to business stakeholders.
- • Collaborating closely with Engagement Directors, you will ensure that all learning initiatives are strategically aligned with overarching business goals. You will also be responsible for capturing valuable feedback and documenting the realized outcomes of these initiatives for executive-level reviews, demonstrating the ROI of DataRobot.
- • You will work in tandem with the Account Owner, Engagement Directors, and Professional Services teams. Your collaborative efforts will be focused on accelerating the time-to-value for our customers, supporting expansion opportunities within existing accounts, and proactively reducing churn risk through continuous enablement and meticulous use case optimization.
- • This role requires a deep understanding of AI platforms, application lifecycle management, and data-centric solution delivery. A strong grasp of AI Engineering principles, including GenAI application development, prompt engineering, and the nuances of Large Language Models (LLMs), is essential.
- • You will leverage your strong presentation and communication skills to effectively engage with both business users and highly technical stakeholders, translating complex technical concepts into clear, actionable insights and demonstrable business outcomes.
- • Your proven ability to translate intricate technical functionality into measurable business results will be a key differentiator. You will also draw upon your experience in supporting product adoption, managing customer success plans, and driving technical consumption to ensure customer satisfaction and loyalty.
- • A working knowledge of AI/ML concepts, including model deployment, inference, and fine-tuning, is expected. Furthermore, a solid understanding of GenAI application architectures and LLM implementations will enable you to provide expert guidance.
- • Familiarity with cloud infrastructure environments such as AWS, Azure, and GCP, along with common deployment patterns, will be advantageous. Your ability to read code logs to diagnose and resolve technical issues will be critical in ensuring seamless customer operations.
🎯 Requirements
- • Minimum 5 years of experience in technical customer-facing roles (e.g., Solution Engineer, AI Engineer, Technical CSM, App Developer) within SaaS or enterprise software environments.
- • Bachelor's degree in a technical, business, or related field, or equivalent practical experience. An advanced degree is a plus.
- • Strong familiarity with AI platforms, application lifecycle management, or data-centric solution delivery, with a specific emphasis on AI Engineering, including GenAI application development, prompt engineering, and knowledge of LLMs.
- • Proven ability to translate complex technical functionality into measurable business outcomes and experience supporting product adoption, managing customer success plans, and driving technical consumption.
- • Comfortable reading code logs to diagnose technical issues and familiarity with cloud infrastructure (AWS, Azure, GCP) and deployment patterns.
🏖️ Benefits
- • Comprehensive Medical, Dental, and Vision Insurance.
- • Flexible Time Off Program.
- • Paid Holidays.
- • Paid Parental Leave.
- • Global Employee Assistance Program (EAP).
Skills & Technologies
AWS
Azure
GCP
Remote
Degree Required
About DataRobot, Inc.
DataRobot provides an enterprise AI platform that automates the end-to-end process for building, deploying, and managing machine-learning models at scale. Founded in 2012, the company serves industries including finance, healthcare, retail, and manufacturing, enabling data scientists and business analysts to create predictive analytics without deep coding expertise. The platform integrates with existing data infrastructure, offers governance and monitoring tools, and supports on-premise, cloud, and hybrid deployments. DataRobot emphasizes responsible AI practices and model interpretability to help organizations operationalize artificial intelligence while maintaining compliance and transparency.
