Axon
AI Evangelist - Program Manager
Scottsdale, Arizona, United States
Sponsorship not specifiedDetected 4 hours ago
SnowflakeAWSAzureCloud PlatformsRESTMachine LearningNLPLLMsRAGComplianceJiraConfluenceSalesforceVideo ProductionLeadershipCommunicationCollaborationPublic Speaking
About the role
- We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software.
- Like our products, we work better together.
Responsibilities
- 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.
- Create and maintain a library of enablement materials-quick-start guides, prompt engineering playbooks, video walkthroughs, FAQs, and best-practice documentation.
- Run an internal AI champions program (e.g., Champions Circle) to cultivate power users across business units who can drive adoption within their teams.
- 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.
- work with the Corporate AI Team to scope and deliver solutions.
- Build lightweight prototypes and demos that show teams what's possible before committing engineering resources.
- Document and share success stories-quantified wins, before/after workflows, and lessons learned-to build momentum across the organization.
- Create compelling content (blog posts, internal newsletters, Slack updates, demo videos, presentations) that keeps AI visible and accessible.
- Prioritize use cases based on impact, feasibility, and alignment with Axon's mission; work with the Corporate AI Team to scope and deliver solutions.
- Develop and maintain a "Vibe Coding" safety guide and similar resources that help employees understand the risks of AI-generated code and content.
Requirements
- Bachelor's degree in Computer Science, Engineering, Communications, or a related field, or equivalent practical experience.
- 8+ years of experience in technology roles, with at least 3 years focused on AI/ML, developer relations, technical evangelism, enablement, or a closely related domain.
- 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 stacks-enough to have credible technical conversations with engineers.
- Track record of driving technology adoption or transformation initiatives within an organization.
- You don't need all of these, but experience in several of the following will help you ramp quickly:
- Experience in developer relations, developer advocacy, technical evangelism, or technical training at a technology company.
- Familiarity with AI governance, responsible AI frameworks, and compliance requirements (CJIS, FedRAMP, SOC 2).
- Experience integrating with enterprise systems like Jira, Confluence/Quip, Slack, M365, Salesforce, or Snowflake-enough to understand what's possible and demo it.
- Demonstrated ability to explain complex technical concepts to non-technical audiences-in writing, in presentations, and in one-on-one conversation. This is the core skill.
- Hands-on experience with modern AI tools and platforms (LLMs, coding assistants, automation frameworks, cloud AI services). You don't need to be a researcher, but you need to be a skilled practitioner.
- Track record of driving technology adoption or transformation initiatives within an organization. You've changed how people work, not just told them to.
- Self-directed and comfortable operating with ambiguity. You don't wait for a roadmap-you build one.
- Strong communication and collaboration skills, with comfort working across every level of an organization, from individual contributors to C-suite executives.
- Hands-on work with LLM platforms and tools, such as OpenAI (ChatGPT / APIs), Anthropic (Claude / Claude Code), AWS Bedrock, Azure OpenAI, or similar.
- Experience building and running internal enablement programs-training curricula, champions programs, office hours, documentation libraries.
Nice to have
- Preferred Experience
Skills
- Join Axon and be a Force for Good.
- Life at Axon is fast-paced, challenging and meaningful.
- AI/Technology Evangelist - Program Manager (Corporate AI Team)
- Team & Role Overview
Visa & Work Authorization
- ardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status
This listing is sourced directly from Axon's careers page and normalized into a canonical job model.