About the Role
Axon's Corporate AI Team, part of the Enterprise Data organization, focuses on internal-facing AI solutions to empower Axon employees. The team develops and operates 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.
We are seeking an AI/Technology Evangelist to significantly boost the adoption, understanding, and responsible implementation of AI across Axon. This is a senior Individual Contributor role, focused on hands-on engagement with various teams throughout the company, creating content, managing programs, and evangelizing AI capabilities rather than managing direct reports.
Responsibilities
Adoption & Enablement
- Design, build, and deliver training programs (workshops, office hours, 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: quick-start guides, prompt engineering playbooks, video walkthroughs, and best-practice documentation.
- Run an internal AI champions program to cultivate power users who can drive adoption within their teams.
- Track and report on adoption metrics—usage, engagement, satisfaction, and business impact.
Use Case Discovery & Delivery
- Partner with teams (Finance, Sales, Operations, Legal, HR, Support, Engineering) to identify workflows where AI can reduce toil, improve quality, or create leverage.
- Prioritize use cases, scope solutions with the Corporate AI Team, and build lightweight prototypes and demos.
- Document and share success stories to build momentum across the organization.
Communication & Storytelling
- Serve as the primary internal voice for Axon's AI platform, communicating roadmap updates, new capabilities, and success stories.
- Create compelling content (blog posts, internal newsletters, presentations) that keeps AI visible and accessible.
- Present to leadership and executive audiences on AI adoption progress and strategic recommendations.
- Represent Axon's Corporate AI work externally at conferences, meetups, and industry events.
Security, Governance & Responsible AI
- 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 resources like a "Vibe Coding" safety guide for 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, and usage controls.
Ecosystem & Community Building
- Build and maintain a map of AI initiatives across Axon to connect teams and prevent duplication.
- Stay current with the rapidly evolving AI landscape and translate key developments into actionable guidance.
- Evaluate new AI tools and vendors, making recommendations for adoption or avoidance.
- Contribute to Axon's external AI community presence.
Requirements
- Education: Bachelor's degree in Computer Science, Engineering, Communications, or a related field, or equivalent practical experience.
- Experience: 8+ years in technology roles, with at least 3 years focused on AI/ML, developer relations, technical evangelism, enablement, or a closely related domain.
- Communication: Demonstrated ability to explain complex technical concepts to non-technical audiences.
- Hands-on AI Experience: Skilled practitioner with modern AI tools and platforms (LLMs, coding assistants, automation frameworks, cloud AI services).
- Technical Understanding: Strong understanding of software development practices, cloud infrastructure, and enterprise technology stacks.
- Driving Adoption: Track record of driving technology adoption or transformation initiatives.
- Self-Directed: Comfortable operating with ambiguity and proactively building roadmaps.
- Collaboration: Strong communication and collaboration skills across all organizational levels.
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 (e.g., OpenAI, Anthropic, AWS Bedrock, Azure OpenAI).
- Experience building and running internal enablement programs (training curricula, champions programs, office hours).
- 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.
- Background in public safety, government technology, or regulated industries.
- Understanding of prompt engineering, RAG architectures, and agentic workflows.