AI Adoption Specialist

<h2>Overview</h2> <p>Moonshot builds the power infrastructure that makes AI possible. Our equipment goes into the largest AI datacenter deployments in the country, powering the models behind ChatGPT, Claude, and Gemini. Now we are turning that same technology inward to become the premier adopter of AI and modern software in manufacturing. As Technology Adoption Specialist, you are the person who makes that real for every team in the building. You sit with departments, map how they actually work today, identify where better tooling and process create leverage, and then deploy the training and documentation that makes adoption stick. This role is equal parts business analyst, technical trainer, and process documentarian. It is hands-on by design and crosses every department.</p> <h2>Key Responsibilities</h2> <ol> <li><strong>Workflow Analysis and Process Documentation:</strong> Spend time with every department understanding how work gets done today. Map current-state workflows, identify gaps and friction points, and translate what you learn into clear, usable process documentation. This is the foundation everything else builds on. You are not just observing; you are synthesizing what you find into structured materials that the organization can act on and train from.</li> <li><strong>Training and Enablement:</strong> Design and deliver training that meets people where they are, from someone in purchasing learning to use AI tools for the first time, to an engineer learning how to get more out of the ERP system. Build training materials, run workshops, and provide one-on-one support. The goal is durable behavior change, not a one-time session.</li> <li><strong>Software and AI Tool Deployment:</strong> Assist with implementation of technology tools across the organization, including AI platforms and business software. Get tools into people's hands, build integrations where needed, and ensure new capabilities fit into existing workflows rather than creating additional work. Hands-on proficiency with Microsoft Copilot, Power Automate, ChatGPT or Claude enterprise, and similar platforms is expected.</li> <li><strong>Business Systems Fluency:</strong> Develop a working understanding of Moonshot's core systems, including the ERP platform and Microsoft 365 environment, deep enough to teach others, identify usage gaps, and provide informed input on how those systems should work. You do not need to be a developer, but you need to be technically credible enough to troubleshoot, configure, and partner effectively with IT and software teams.</li> <li><strong>Adoption Tracking:</strong> Measure whether tools and processes are actually being used after rollout. Track adoption rates, gather feedback, and iterate. A tool nobody uses and a document nobody reads are both failed deployments, regardless of how good the underlying work was.</li> <li><strong>Gap Identification and Prioritization:</strong> Start from a prioritized list of known opportunities, then build toward independently identifying gaps the business has not yet named. Surface what is working, what is not, and where the organization is not yet ready. Bring ground-level reality back to the Director of Digital Transformation to help shape where the team focuses next.</li> </ol> <h2>Qualifications</h2> <p><strong>Experience:</strong></p> <ul> <li>3-5 years in technology implementation, software adoption, digital transformation, or a related field with a CS or technical foundation</li> <li>Demonstrated experience training and enabling non-technical users on business technology tools</li> <li>Hands-on experience with AI adoption or AI tool deployment in a business environment</li> <li>Experience in a business analyst capacity: mapping workflows, documenting processes, and translating operational reality into structured training or system guidance</li> <li>ERP experience is a plus; platform does not matter</li> </ul> <p><strong>Skills:</strong></p> <ul> <li>Proficiency with AI and automation platforms such as Microsoft Copilot, Power Automate, ChatGPT Enterprise, Claude Enterprise, or similar tools</li> <li>Strong technical writing and documentation ability; you can turn a messy workflow into a clear process document that someone else can train from</li> <li>Teaching instinct and communication clarity; you can explain a complex system to someone who has never used it and make them confident, not just informed</li> <li>Business analysis capability; you can walk into a department, ask the right questions, and come out with an accurate picture of how work actually flows</li> <li>Patient, persistent, and practical; adoption is a people and process problem, not just a technology problem</li> </ul> <p><strong>Education:</strong></p> <ul> <li>Bachelor's degree in Information Technology, Business, Computer Science, or equivalent experience</li> <li>Technical writing, instructional design, or change management credentials are a plus</li> </ul> <h2>Why Moonshot?</h2> <ul> <li><strong>Build Something Real:</strong> You are not producing documentation that lives in a shared drive nobody opens. You are building the training programs and process foundations that change how a rapidly growing manufacturing company operates every day. The equipment we build powers the AI revolution, and you are bringing that same momentum inside our own walls. The impact is visible and immediate.</li> <li><strong>Career Growth:</strong> Moonshot is in hypergrowth and committed to becoming the most AI-advanced manufacturer in the country. You are getting in early on a technology adoption function that will only grow in scope and influence as the company scales. The people who build the process foundation here shape how the organization runs for years.</li> <li><strong>Innovative Culture:</strong> Moonshot is where AI meets the real world. We build the power systems that make AI possible and we use AI to build them better and faster. If you want to help an entire company level up on how it works, from the shop floor to the executive suite, this is the job.</li> <li><strong>Operational Impact:</strong> Your work directly shapes how departments function at scale. You are not keeping a system running in the background; you are actively changing how people do their jobs, reducing manual effort, and building the documentation layer that makes a fast-growing company repeatable.</li> </ul>