AI Training & Enablement Lead

Job not on LinkedIn

🔥 0 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Giga Energy

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏭 Manufacturing

📦 Logistics

⚡ Energy

💰 $2.3M Seed Round on 2022-03

Manufacturing • Logistics • Energy

Giga Energy is a company specializing in the manufacturing and supply of electrical equipment and modular data centers. They provide a wide range of products including 3-phase and 1-phase padmount transformers, substation transformers, and UL 891 switchboards. Their transformers are designed to support both commercial and industrial power distribution needs, while their modular data centers, such as the Giga Box Air™ and Giga Box Hydro™, cater to efficient data management and are particularly designed for bitcoin mining. Giga Energy is committed to high quality, fast lead times, and exceptional customer service in delivering infrastructure solutions that energize the modern world.

📋 Description

• Build Giga's company-wide AI learning and enablement roadmap for employees, managers, leaders, power users, and builders. • Turn high-value needs across engineering, manufacturing, project delivery, finance, sales, recruiting, People, and other functions into role-specific learning. • Design and deliver hands-on workshops, workflow labs, onboarding sessions, office hours, and team coaching. • Produce concise videos, live demos, field notes, job aids, and reusable examples as Giga's internal AI creator. • Build and maintain an enablement hub with approved-tool guidance, workflow playbooks, prompt and agent patterns, verification checklists, and examples. • Build an AI champion network to adapt guidance, coach peers, surface friction, and share effective practices. • Convert employee questions and workflow requests into reusable training, templates, controlled experiments, or briefs for Business Systems & Automation and other builders. • Test new models, agents, and workflow patterns; recommend what Giga should pilot, scale, defer, or stop. • Partner with Digital Operations, Security, Legal, People, and data owners on approved tools, confidentiality, verification, human review, and escalation guidance. • Measure adoption through activation, repeat use, workflow reuse, confidence, blocker closure, quality, cycle time, hours freed, and responsible-use signals. • Capture success stories and adoption barriers, providing leaders with evidence and recommendations. • Create protected moments for learning and experimentation, including showcases, build sprints, and function-specific discovery sessions.

🎯 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.

🏖️ 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