AI Enablement Lead

Workman Labs; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Beast Industries is seeking its first AI Enablement Lead to drive how AI is adopted across the company, co-building AI workflows and tools alongside teams rather than delivering traditional training.

The role requires hands-on experience with modern AI tools and a strong blend of product and systems thinking to scale AI usage across departments. You will help shape AI strategy, ensure practical integration, and stay current with emerging AI trends.

Qualifications

• Hands-on experience building with modern AI tools (LLMs, agents, automations, internal tools).
• Ability to demonstrate personal AI projects.
• Strong product and systems thinking.

Responsibilities

• Embed with cross-functional teams to identify high-impact AI opportunities.
• Co-build AI workflows, automations, and tools alongside team members.
• Target efficiency gains across multiple functions such as finance, legal, HR, media production, and consumer products.
• Measure outcomes through time saved, cost avoided, and quality improvements.
• Facilitate department showcases and competitions.
• Integrate AI proficiency into hiring and performance management.

Skills

Hands-on AI tools

Prompt engineering

Data architecture

Evaluation

Deployment

Product thinking

Systems thinking

Communication

Self-directed problem solving

Job description

Beast Industries (founded by Jimmy Donaldson, MrBeast) seeks its first AI Enablement Lead to drive how AI is adopted across the company, co-building AI workflows and tools alongside teams rather than delivering traditional training.

Location

—

Seniority

Lead

What you\'ll do

Responsibilities

• Embed with cross-functional teams to identify high-impact AI opportunities
• Co-build AI workflows, automations, and tools alongside team members
• Target efficiency gains in finance, legal, HR, media production, and consumer products
• Measure outcomes through time saved, cost avoided, and quality improvements
• Facilitate department showcases and competitions
• Integrate AI proficiency into hiring and performance management
• Stay current with emerging AI tools and trends

What you\'ll need

Experience

• Hands-on experience building with modern AI tools (LLMs, agents, automations, internal tools)
• Ability to demonstrate personal AI projects
• Proficiency across the stack: prompt engineering, data architecture, evaluation, deployment
• Strong product and systems thinking
• Excellent communication and self-directed problem-solving
• Bonus: developer relations, solutions engineering, or forward-deployed engineering background; track record of organizational tool adoption; public AI community presence