AI Training & Enablement Lead

About Giga

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.

This is a full-time role. Austin, Texas preferred.

• 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.

• Giga employees share a practical baseline for using approved AI tools responsibly and know where human judgment is required.
• Teams can point to role-specific AI workflows that are used repeatedly in real work, not just demonstrated in training.
• Giga has a current, trusted library of short-form learning, playbooks, examples, and reusable workflow assets.
• A functioning champion and feedback network turns frontline questions into better guidance, better workflows, and better product decisions.
• Leadership can see credible evidence of adoption, business value, friction, and risk rather than relying on logins, course completions, or anecdotes alone.
• Giga develops the habit of evaluating frontier AI quickly, using it safely, and scaling only what…