Team & Role Overview
Axon's Corporate AI Team, nested within the Enterprise Data organization, focuses on internal-facing AI solutions to enhance employee productivity. The team is responsible for building and operating Cortex, Axon's internal AI platform that offers GPT-class models, chat assistants, and secure integrations with systems like Quip, Jira, Slack, Microsoft 365, and Snowflake.
Axon is seeking an AI/Technology Evangelist to significantly boost the adoption, understanding, and responsible implementation of AI across the company. This role serves as a crucial link between the Corporate AI Team's capabilities and the broader organization, translating complex possibilities into practical applications. You will design and deliver comprehensive training programs, workshops, demonstrations, and enablement materials to empower employees at all levels to utilize AI tools effectively and safely. A key part of your role will be to identify high-impact AI use cases across various business units, championing them from initial concept through to successful adoption and impact measurement. Additionally, you will be responsible for building and maintaining an internal AI playbook, which includes guides, best practices, templates, and reference materials to facilitate AI development and usage within teams. This is a hands-on senior individual contributor role, primarily focused on direct engagement with teams, content creation, program management, and AI evangelization, rather than people management.
What You'll Do
Adoption & Enablement
- Design, build, and deliver training programs (workshops, office hours, lunch-and-learns, self-paced content) to help Axon employees effectively use AI tools, including Cortex, Claude, Copilot, and internal AI-powered applications.
- Create and maintain a library of enablement materials, such as 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 respective teams.
- Track and report on adoption metrics, including usage, engagement, satisfaction, and business impact, to measure progress and identify areas for improvement.
Use Case Discovery & Delivery
- Partner with various Axon teams (Finance, Sales, Operations, Legal, HR, Support, Engineering) to identify workflows where AI can significantly reduce toil, improve quality, or create leverage.
- Prioritize use cases based on impact, feasibility, and alignment with Axon's mission; collaborate with the Corporate AI Team to scope and deliver solutions.
- Build lightweight prototypes and demos to showcase possibilities before committing extensive engineering resources.
- Document and share success stories, including quantified wins, before/after workflows, and lessons learned, to build momentum across the organization.
Communication & Storytelling
- 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) to maintain AI visibility and accessibility.
- Present to leadership and executive audiences on AI adoption progress, emerging opportunities, and strategic recommendations.
- Represent Axon's Corporate AI work externally where appropriate, such as at conferences, meetups, industry events, and through thought leadership content.
Security, Governance & Responsible AI
- Educate teams on the 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 to help employees understand the risks of AI-generated code and content.
- Partner with Security, Legal, and Governance teams to ensure AI adoption programs align with Axon's policies and ethical commitments.
- Help operationalize responsible AI guardrails, including model selection guidance, data minimization, usage controls, and audit logging.
Ecosystem & Community Building
- Build and maintain a clear map of AI initiatives across Axon, connecting teams working on similar problems and preventing duplication of effort.
- Stay current with the rapidly evolving AI landscape (new models, tools, techniques, risks) and translate relevant developments into actionable guidance for the organization.
- Evaluate new AI tools and vendors, making recommendations for adoption, piloting, or avoidance.
- Contribute to Axon's external AI community presence through talks, blog posts, open-source contributions, or partnerships.
What You Bring
- 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, both in writing and presentations.
- Hands-on experience with modern AI tools and platforms (LLMs, coding assistants, automation frameworks, cloud AI services). Must be a skilled practitioner.
- Strong understanding of software development practices, cloud infrastructure, and enterprise technology stacks to facilitate credible technical conversations with engineers.
- Track record of driving technology adoption or transformation initiatives within an organization.
- Self-directed, comfortable with ambiguity, and proactive in building roadmaps.
- Strong communication and collaboration skills, with comfort working across all organizational levels, from individual contributors to C-suite executives.
Preferred Experience
- 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.
- 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.