AI Training & Enablement Lead

Giga Energy • Austin, TX

10d • Hybrid

About The Position

Giga is building gigawatts of AI data centers to hasten a future of intelligence and abundance. We build data centers fast and at scale by combining the capabilities of an equipment supplier, engineering firm, general contractor, and real estate developer under one roof. Our team moves quickly and thinks practically. If you're ready to make an impact in an industry that matters, we're looking for people like you.

The Pace: We're building at a speed most companies talk about but never actually operate at. If you've been bored somewhere else, you won't be here.
The Impact: Every person at Giga touches the work that matters. No layers, no waiting for approval chains. You'll see your fingerprints on what we ship.
The Team: A team of operators defining the future of AI infrastructure. We recruit A-players from the most innovative companies in the world, and they choose Giga because the work here means more.
The Moment: AI doesn't run without power, and that's us. Giga is the picks and shovels behind the AI revolution. This industry is about to explode, and you'll be in the room where it's already happening.
Giga is hiring a full-time AI Training & Enablement Lead to build the learning and adoption system that keeps the company at the front edge of applied AI. You will help employees move from awareness to confident, responsible use and from one-off experiments to workflows that hold up in real operations.
Think internal AI creator meets adoption operator. You should be able to hold a room, record a sharp tutorial, sit beside an engineer, recruiter, finance leader, or project operator, and turn a messy work problem into a clear learning experience and a better way of working.
This is not a traditional learning-and-development role and it is not a generic AI-evangelist role. You will own the human capability layer while partnering with Business Systems & Automation, Digital Operations, Security, Legal, People, and functional leaders on tools, workflows, controls, and rollout.

Requirements

• A portfolio that shows you can teach complex technology clearly through live facilitation, video, writing, job aids, or a combination of formats.
• Hands-on fluency across modern AI tools and workflows, with a specific example of an agent, automation, reusable workflow, or other capability you personally built or configured.
• Evidence that you changed behavior and sustained adoption, not just delivered a launch, a keynote, or a course.
• The ability to diagnose a real business workflow, find the point where AI can help, and explain when deterministic automation or human judgment is the better answer.
• Exceptional facilitation and storytelling across audiences with very different levels of technical confidence, from frontline operators to executives.
• Strong content judgment: you can make a useful tutorial quickly, keep it accurate, and retire or revise it when the underlying tool changes.
• A record of measuring what changed after enablement, including usage, workflow adoption, quality, cycle time, employee hours freed, or another meaningful operating result.
• Practical judgment about confidentiality, permissions, hallucinations, grounding, output verification, human review, and when AI should not be used.
• High ownership, curiosity, direct communication, and comfort operating quickly when the technology and the organization are changing at the same time.

Nice To Haves

• You have built an audience or learning community through YouTube, a course, a newsletter, workshops, or another public body of work; reach matters less than the quality and usefulness of the teaching.
• Experience in energy, infrastructure, data centers, manufacturing, construction, engineering, or another physical operating environment.
• Experience in developer education, customer education, solutions consulting, technical enablement, change leadership, or adult learning.
• Comfort recording and editing concise screen-based tutorials, demonstrations, and internal video series.
• Enough technical depth to prototype with agents, APIs, low-code tools, or code and to work credibly with software builders without pretending to own production architecture.
• Experience building champion networks, communities of practice, academies, hackathons, or other peer-led adoption programs.

Responsibilities

• Own Giga's company-wide AI learning and enablement roadmap, with practical paths for employees, managers, leaders, power users, and builders.
• Learn how work actually happens across engineering, manufacturing, project delivery, finance, sales, recruiting, People, and other functions, then turn the highest-value needs into role-specific learning.
• Design and deliver hands-on workshops, workflow labs, onboarding sessions, office hours, and team coaching that help people use AI in real work.
• Act as Giga's internal AI creator: produce concise, high-signal videos, live demos, field notes, job aids, and reusable examples that employees want to watch and use.
• Build and maintain an easy-to-navigate enablement hub with approved-tool guidance, workflow playbooks, prompt and agent patterns, verification checklists, and examples from Giga teams.
• Build a network of AI champions who adapt central guidance to their functions, coach peers, surface friction, and share what works.
• Turn repeated employee questions and workflow requests into reusable training, templates, controlled experiments, or clearly scoped briefs for Business Systems & Automation and other builders.
• Maintain a practical frontier radar: test meaningful new models, agents, and workflow patterns; explain what changed; recommend what Giga should pilot, scale, defer, or stop.
• Partner with Digital Operations, Security, Legal, People, and data owners so every learning experience includes clear guidance on approved tools, confidentiality, output verification, human review, and escalation.
• Measure adoption beyond attendance by tracking activation, repeat use, workflow reuse, confidence, blocker closure, quality, cycle time, hours freed for higher-value work, and responsible-use signals.
• Capture internal success stories and adoption barriers, then give leaders concise evidence and recommendations on where to invest, intervene, or change course.
• Create protected moments for learning and experimentation, including showcases, build sprints, or function-specific discovery sessions when they are the best way to move from curiosity to useful work.

Benefits

• Subsidized health, dental, and vision insurance
• Equity (options) in a rapidly growing startup
• 401(k) with 4% employer match
• Unlimited PTO
• Parental leave
• Healthcare and Dependent Care Flexible Spending Accounts (FSA) or Health Savings Account (HSA)
• Commuter benefits, where applicable
• Opportunities to collaborate in person at periodic team and company on-sites

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed