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The Lead Pre-Sales AI Solutions Engineer will design and build AI applications for enterprise customers, effectively communicating AI value and integrating with business processes.

The AI Support Engineer II will provide customer support for the DataRobot AI Platform, troubleshoot complex issues, work with technical teams, and automate customer service processes, requiring strong communication skills in both Japanese and English.

As Lead AI Architect for the Federal sector, you will oversee AI integrations, provide technical expertise, and ensure compliance with security requirements across federal environments. Leading installations, consulting on architecture, and supporting pre-sales efforts are key responsibilities, requiring deep knowledge in systems architecture and federal regulations.

Lead the delivery of advanced AI initiatives, manage enterprise engagements, translate business needs into technical requirements, and drive customer adoption.

The Lead Product Marketing Engineer will drive awareness and engagement for DataRobot's Agentic AI platform, crafting narratives, creating content, and managing partnerships to inspire C-level executives and technical audiences.

The Account Director is responsible for driving growth within high-value customer portfolios through strategic planning, relationship building, and risk management.

The Account Director drives growth in high-value customer accounts, developing strategies for application expansion and risk management, while fostering executive relationships.

As a Principal Software Engineer, you'll lead technical initiatives, mentor engineers, and optimize DataRobot's AI infrastructure, focusing on designing scalable systems and collaborating cross-functionally.

The Customer Success Engineer drives the adoption and success of DataRobot's GenAI applications, manages customer health, provides technical solutions, and facilitates user training to maximize value and impact.

The DevOps Engineer II works with cross-disciplinary teams to architect software systems, utilizing skills in Kubernetes, cloud computing, and automation to ensure scalability and reliability.