AI Evangelist - Program Manager

Axon Axon · Enterprise · AZ · 4702 Business Intelligence

This role focuses on driving the adoption, understanding, and responsible use of AI across Axon by acting as a bridge between the Corporate AI Team and the rest of the organization. Responsibilities include designing and delivering training, identifying and championing AI use cases, building enablement materials, and communicating AI capabilities. The role emphasizes evangelism and program management for internal AI solutions, not direct AI model development.

What you'd actually do

  1. Design, build, and deliver training programs (workshops, office hours, lunch-and-learns, self-paced content) that help Axon employees effectively use AI tools including Cortex, Claude, Copilot, and internal AI-powered applications.
  2. Create and maintain a library of enablement materials—quick-start guides, prompt engineering playbooks, video walkthroughs, FAQs, and best-practice documentation.
  3. Partner with teams across Axon (Finance, Sales, Operations, Legal, HR, Support, Engineering) to identify workflows where AI can meaningfully reduce toil, improve quality, or create leverage.
  4. Serve as the primary internal voice for Axon's AI platform—communicating roadmap updates, new capabilities, best practices, and success stories to all levels of the organization.
  5. Educate teams on safe and responsible use of AI tools—covering topics like secrets management, data classification, prompt injection risks, and compliance requirements (CJIS, FedRAMP, SOC 2).

Skills

Required

  • Demonstrated ability to explain complex technical concepts to non-technical audiences—in writing, in presentations, and in one-on-one conversation.
  • Hands-on experience with modern AI tools and platforms (LLMs, coding assistants, automation frameworks, cloud AI services).
  • Strong understanding of software development practices, cloud infrastructure, and enterprise technology.
  • Experience in technology roles, with a focus on AI/ML, developer relations, technical evangelism, or enablement.
  • Ability to identify high-impact AI use cases and champion them from concept to adoption.
  • Experience in designing and delivering training programs and creating enablement materials.
  • Familiarity with AI governance, security, and responsible AI principles.

Nice to have

  • Bachelor's degree in Computer Science, Engineering, Communications, or a related field, or equivalent practical experience.
  • Experience with internal AI platforms like Cortex, Claude, Copilot.
  • Familiarity with compliance requirements (CJIS, FedRAMP, SOC 2).

What the JD emphasized

  • This is the core skill.
  • You don't need to be a researcher, but you need to be a skilled practitioner.