Customer Success Engineer

🔥 2 hours ago

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DataRobot

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2012

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

DataRobot is a company that provides an AI platform and applications designed to integrate into core business processes. The company offers Enterprise AI Suite, AI Apps, and AI Platform services, which include Generative AI, Predictive AI, AI Governance, and AI Observability. DataRobot aims to help businesses develop, deliver, and govern AI solutions at scale, supporting industries such as energy, financial services, healthcare, manufacturing, and the public sector. With a focus on maximizing business impact and minimizing risk, DataRobot provides solutions that expedite deployment and secure numerous predictions each day.

📋 Description

• Guide customers through first-use milestones by enabling key personas, resolving blockers, and ensuring consumption of initial applications deployed during onboarding • Monitor usage, identify underutilized applications and stalled users, and increase activation and business impact • Track product usage, satisfaction, and success milestones to surface risk and coordinate mitigation plans • Represent customer technical requirements, gaps, and enhancement requests to product and engineering teams • Facilitate onboarding workshops and training sessions for multiple user groups • Deliver targeted, scalable enablement sessions and create reusable knowledge-sharing materials • Collaborate with Engagement Directors to align learning initiatives with business goals and capture feedback and outcomes for executive reviews • Serve as the technical bridge between customers, developers, and DataRobot’s AI platform • Work with Account Owners, Engagement Directors, and Professional Services teams to accelerate time-to-value, support expansion, and reduce churn risk

🎯 Requirements

• 3–5+ years of experience in technical customer-facing roles such as Solution Engineer, AI/ML Engineer, Technical CSM, or Application Developer • Bachelor's degree in a technical, business, or related field, or equivalent practical experience • Familiarity with AI platforms, application lifecycle management, or data-centric solution delivery • GenAI application development, prompt engineering, and knowledge of LLMs • Strong presentation and communication skills for business users and technical stakeholders • Ability to translate complex technical functionality into measurable business outcomes • Experience supporting product adoption, managing customer success plans, and driving technical consumption • Extensive experience with the end-to-end machine learning lifecycle, including feature engineering, model training, accuracy evaluation, insight generation, and model deployment for inference • Understanding of GenAI application architectures and LLM implementations • Familiarity with AWS, Azure, or GCP and deployment patterns • Comfortable reading code and logs to diagnose technical issues • Professional proficiency in Japanese and English, written and verbal

🏖️ Benefits

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