Technical Curriculum Developer

Redwood City · USD 107,000-140,000 · 2+ years experience · Full-time · Posted Oct 2, 2026

At a glance

C3 AI is hiring a Technical Curriculum Developer to join the Training team and design technical learning experiences.
This role involves working closely with Product and Engineering teams to create hands-on, practical content for developers, solution architects, and data scientists.
The developer will build engaging learning experiences that help users build advanced AI applications using the C3 Agentic AI Platform.

Design, develop and deliver engaging, real-world learning experiences—labs, projects, and interactive exercises that teach practical skills to customer developers, architects, and data scientists, aligned with product capabilities and industry best practices.
Build and maintain technical content (courses, videos, code packages) optimized for virtual and in-person delivery.
Collaborate cross-functionally with engineers, product managers, and SMEs to ensure training reflects the latest platform features.
Innovate in instructional design, apply cognitive principles and leverage content and video creation tools (Lucid, Camtasia) to enhance learner engagement.
Measure impact by collecting customer feedback and iterating on content to improve effectiveness.
Develop training code and applications for AI-driven industry solutions.

Bachelor’s degree in education, engineering, computer science, or related field.
2+ years of experience creating technical and educational content for developer audiences.
Strong written and verbal communication skills to explain complex concepts clearly to diverse audiences.
Self-motivated, organized, and able to work independently.
Proficiency with content and video creation tools such as Lucid and Camtasia.
Strong hands-on experience and understanding of object-oriented programming, data structures, algorithms, and web application development.
Experience working with JavaScript frameworks such as React, as well as HTML and CSS.

Experience with Git or other version control software preferred.
Knowledge of SQL and NoSQL databases, ETL techniques and machine learning concepts including regression, PCA, decision trees, and clustering preferred.
Understanding of generative & agentic AI technologies, including LLMs, RAG, and AI agents preferred.

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