axon

AI Evangelist - Program Manager

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At a Glance

Location
Seattle, Washington, United States
Experience
8+ years
Posted
2026-06-02T19:52:50-04:00

Key Requirements

Required Skills

AWSAzureConfluenceJiraSalesforceSnowflake

Domain Knowledge

  • Automation
  • Cloud
  • Engineering
  • Environmental
  • Government
  • Legal
  • Regulatory

Requirements

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.

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.

Hands-on work with LLM platforms and tools, such as OpenAI (ChatGPT / APIs), Anthropic (Claude / Claude Code), AWS Bedrock, Azure OpenAI, or similar.

Familiarity with AI governance, responsible AI frameworks, and compliance requirements (CJIS, FedRAMP, SOC 2).

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.

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.