Head of AI Education

Trailblaze; Santa Cruz (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Trailblaze Labs, Santa Cruz, CA, seeks a Head of AI Education to lead the design, delivery, and continuous improvement of AI learning programs for clients and internal teams. This full-time, on-site role involves developing curricula and training materials, facilitating workshops, and creating tailored learning pathways for executives to frontline staff.

You will collaborate with strategy and engineering to translate AI topics into accessible content.

Qualifications

• Experience designing and delivering AI education programs.
• Ability to translate complex AI topics into accessible content.
• Excellent communication and empathy for diverse audiences.

Responsibilities

• Design and deliver AI learning curricula for clients and internal teams.
• Facilitate workshops for executives to frontline staff.
• Mentor facilitators and contribute thought leadership on AI education best practices.
• Collaborate closely with strategy and technical teams to translate AI topics into learning experiences.

Skills

Curriculum design

Facilitation

Storytelling

Public speaking

Cross-functional

Ethical AI

Educational strategy

Education

Bachelor's or advanced degree in CS / Data Science / Education / HCI

Tools

NLP

Computer Vision

Job description

Company Description

Trailblaze Labs is an AI strategy and consulting firm focused on small and mid-sized businesses that want to actively embrace AI rather than wait on the sidelines. The team begins with a deep understanding of each client’s purpose, team priorities, and customer needs, then designs AI strategies that support real-world impact rather than abstract efficiency metrics. Trailblaze’s work spans training that builds practical confidence, strategic planning that targets high-value bottlenecks, and hands‑on development of AI tools and workflows. The firm partners with organizations that need AI connected to the work that matters most and delivered by people who believe in it, creating lasting leverage across operations.

Role Description

The Head of AI Education will lead the design, delivery, and continuous improvement of AI learning programs for Trailblaze clients and internal teams. This full‑time, on‑site role in Santa Cruz, CA involves developing curricula and training materials, facilitating workshops, and creating tailored learning pathways for diverse audiences ranging from executives to frontline staff. The role includes collaborating closely with strategy and technical teams to translate complex AI topics into accessible, actionable content that aligns with each client’s business objectives. The Head of AI Education will assess learning outcomes, refine programs based on feedback and performance data, and build scalable education frameworks that help organizations adopt AI with confidence and responsibility. Additional responsibilities include mentoring facilitators, representing Trailblaze at events, and contributing thought leadership on AI education best practices.

Qualifications

• Strong foundation in Computer Science, with the ability to explain core concepts to technical and non-technical audiences.
• Applied experience in Data Science and Pattern Recognition to design realistic examples, case studies, and exercises.
• Knowledge of Natural Language Processing (NLP) and Computer Vision sufficient to contextualize current capabilities, limitations, and use cases.
• Proven track record in designing and delivering technical education programs, workshops, or training in AI or related fields.
• Excellent communication, facilitation, and storytelling skills, with emphasis on clarity, empathy, and accessibility.
• Ability to work cross-functionally with consulting, product, and engineering teams and to translate strategy into learning experiences.
• Experience working with small and mid-sized businesses or in client-facing consulting roles is highly beneficial.
• Bachelor’s or advanced degree in a relevant field (e.g., Computer Science, Data Science, Education, Human-Computer Interaction) or equivalent professional experience.
• Commitment to ethical, responsible AI and inclusive learning practices that support participants with diverse backgrounds and skill levels.