AI Enablement Specialist

What you'll do

• Work alongside senior team members to assess business workflows and identify where AI tools could meaningfully improve how work gets done.
• Build and iterate on AI automations, prompt-based tools, and lightweight applications based on team feedback and real usage.
• Participate in coaching sessions with business team members, helping people get comfortable with AI tools through hands-on practice.
• Maintain clear documentation for the tools and workflows you help build, so others can understand, adapt, and build on them.
• Test AI tools before they go to users — identifying gaps, inconsistencies, and edge cases that matter in a real work environment.
• Track and report on how business team members are progressing in their AI skill development.
• Research emerging AI tools and platforms and summarize what's relevant for Kong's business context.
• Follow Kong's AI governance guidelines and collaborate with IT and Security to ensure tools meet internal standards.

What you'll bring

Minimum Requirements

• 2–3 years of professional or project-based experience — internships, independent work, or coursework all count if you can demonstrate what you built or accomplished.
• Practical experience using AI tools in your day-to-day work, with clear examples of how you've applied them beyond basic question-and-answer use.
• Genuine curiosity about how AI tools work and a drive to understand them at a deeper level than most users do.
• Clear written and verbal communication skills — the ability to explain a technical tool or process to someone who's unfamiliar with it.
• Organized and reliable in a fast-moving environment where priorities can shift and multiple workstreams run at once.

Preferred Qualifications

• Experience building with AI APIs, automation platforms (e.g., Zapier, Make, n8n, Claude Code, Gemini Enterprise), or scripting tools.
• Any coding or scripting background — language matters less than demonstrated initiative and the ability to learn quickly.
• Experience explaining technology to non-technical audiences, whether through peer tutoring, training sessions, or informal support.
• Familiarity with common enterprise tools such as Slack, Google Workspace, Jira, or Salesforce.
• Knowledge of or interest in Kong Konnect, API management, or how AI models connect to enterprise systems is a plus.