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AI Evangelist - Program Manager

Axon - Boston, MA

Non-technical Verified Jun 7, 2026 Source: axon.com

This role is part of the Internal AI Job Board, a curated list of jobs for teams building or operating internal AI systems. Follow the original role page for the employer description, requirements, and application flow.

Compensation: Base Pay Range $147,675 - $236,280 USD Don’t meet every single requirement? That's ok

Responsibilities

  • Axon's Corporate AI Team sits within the Enterprise Data organization and focuses on internal-facing AI solutions that help Axon employees do more high‑value work with less manual effort. The team builds and operates Cortex, Axon's internal AI platform that provides GPT‑class 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.

Qualifications

  • 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.
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