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Axon's Corporate AI Team sits within the Enterprise Data organization and focuses on internal-facing AI solutions that help Axon employees do more highvalue work with less manual effort. The team builds and operates Cortex, Axon's internal AI platform that provides GPTclass models, chat assistants, and secure integrations with systems like Quip, Jira, Slack, Microsoft 365, Snowflake, and more.

We're looking for an AI/Technology Evangelist to drive the adoption, understanding, and responsible use of AI across Axon. In this role, you'll:

• Be the bridge between the Corporate AI Team's capabilities and the rest of the organization-translating what's possible into what's practical.

• Design and deliver training programs, workshops, demos, and enablement materials that help employees at every level use AI tools effectively and safely.

• Identify high-impact AI use cases across business units, champion them from concept to adoption, and measure their impact.

• Build and maintain the internal AI playbook-guides, best practices, templates, and reference materials that make it easy for teams to build with AI.

This is a hands-on senior IC role. You'll spend most of your time working directly with teams across the company, creating content, running programs, and evangelizing AI capabilities-not managing people.

• 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.

• Track and report on adoption metrics-usage, engagement, satisfaction, and business impact-to measure progress and identify gaps.

• 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.

• Prioritize use cases based on impact, feasibility, and alignment with Axon's mission; 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.

• 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.

• Create compelling content (blog posts, internal newsletters, Slack updates, demo videos, presentations) that keeps AI visible and accessible.

• Present to leadership and executive audiences on AI adoption progress, emerging opportunities, and strategic recommendations.

• Represent Axon's Corporate AI work externally where appropriate-conferences, meetups, industry events, and thought leadership content.

• 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).

• Develop and maintain a "Vibe Coding" safety guide and similar resources that help employees understand the risks of AI-generated code and content.

• Partner with Security, Legal, and Governance teams to ensure AI adoption programs reflect Axon's policies and ethical commitments.

• Help operationalize responsible AI guardrails-model selection guidance, data minimization, usage controls, and audit logging.

• Build and maintain a clear map of AI initiatives happening across Axon-connecting teams solving similar problems and preventing duplication of effort.

• Stay current with the rapidly evolving AI landscape (new models, tools, techniques, risks) and translate what matters into actionable guidance for the organization.

• Evaluate new AI tools and vendors; make recommendations about what to adopt, pilot, or avoid.

• Contribute to Axon's external AI community presence through talks, blog posts, open-source contributions, or partnerships.

• 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. 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.

• 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'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.

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.

• 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.

• 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.

• Public speaking experience-conferences, webinars, all-hands presentations, customer events.

• Background in public safety, government technology, or regulated industries.

• Understanding of prompt engineering, RAG architectures, agentic workflows, and AI evaluation methods.

• Content creation skills-writing, video production, or visual design experience that helps you create compelling enablement materials.