AI Enablement Engineer

What you'll do

• Promote AI tools, standards, and reusable workflows through practical guidance, demos, training, and onboarding materials.
• Gather engineering feedback and coordinate ongoing improvements to AI standards, playbooks, templates, and training assets.
• Partner with engineering leads to track adoption and productivity impact, and communicate progress through metrics and success stories.

What they ask for

• 5+ years in developer productivity, developer experience, technical enablement, engineering communications, technical program leadership, or a similar role.
• Strong understanding of engineering practices, including software development lifecycles, code review, testing, developer tooling, platform/reliability concepts, and engineering standards.
• Strong experience using AI tools to create content, package workflows, summarize information, and build reusable assets.
• Demonstrated ability to create reusable AI-assisted workflows, such as prompt libraries, templates, playbooks, and short-form enablement content.

Nice to have

• Experience in B2B SaaS, platform engineering, identity/fraud/risk, fintech, or other technically complex environments.
• Familiarity with engineering productivity metrics, AI tooling analytics, enablement programs, or tools such as Notion, Confluence, Slack, Jira, Glean, LearnUpon, and Jellyfish.

Pay

$210K – $230K (base salary)

Tools

Claude, ChatGPT, Gamma, Cursor, Notion, Confluence, Slack, Jira

AI focus

Enable organization-wide adoption and continuous improvement of AI-assisted engineering workflows and standards, including AIDLC practices, agents, and copilots.