AI Adoption Specialist

Gibson Homewares is the nation's leading producer of dinnerware, cookware, cutlery, tools, and gadgets - all the essentials needed for prep, cooking, dining, and entertaining. For over 40 years and spanning four generations as a respected and trusted family-owned company, Gibson Homewares has developed a portfolio of brands across multiple categories. Based in Los Angeles, Gibson is known for delivering product lines with style and value for the global retail marketplace. Exporting to Latin America and Mexico. Gibson's legacy brands include Laurie Gates, Gibson Elite, Gibson Home, Ultra by Gibson, and Soho Lounge. In addition, Gibson is a driving force behind global brands such as Martha Stewart, Calphalon, Sur La Table, Babish, Kenmore, Crockpot, Oster, Mr. Coffee, and Peanuts. At Gibson, PEOPLE ARE THE #1 PRIORITY and the company is always looking for new talent to join our growing team. For more information, visit us at http://www.gibsonhomewares.com

Job Title:

AI Adoption Specialist Full-Time, In-Office, M-F, in Los Angeles About the Role We're looking for a hands-on AI Adoption Specialist to help our Sales, Marketing, and Operations teams work smarter with AI. You'll report to our Director and SVP Information Technology and own the day-to-day execution of AI initiatives-finding bottlenecks, running pilots, training employees, and making sure AI tools actually get used and deliver results. This isn't a strategy role and it isn't a data science role. It's a doer role. You'll be the person who turns leadership's AI vision into something teams can touch, use, and benefit from every day. What You'll Do Run discovery workshops across departments to identify time sinks, process bottlenecks, and AI opportunities.

Run AI pilot projects:

scoping, timelines, vendor coordination, testing, and results tracking. Set up, configure, and test AI tools (Copilot, Claude, Oracle AI Agents, automation platforms) for business teams. Write prompts, build AI workflows, and QA outputs before rolling tools out to end users. Create training materials, run hands-on sessions, and support employees as they adopt new AI tools. Help maintain approved AI tools policy Monitor AI agent performance, token usage, and flag governance or compliance issues. Research new AI vendors and tools; coordinate demos and POC logistics. Map cross-departmental handoffs (Marketing → Sales → Ops) to find friction points AI can solve. Build a reusable playbook of templates, checklists, and best practices for future AI rollouts.

What We're Looking For Required:

3-6 years in business analysis, operations, project management, or process improvement. 1+ years using AI tools (ChatGPT, Claude, Copilot, Gemini, Oracle GenAI) in a professional setting. Strong project management skills-you can juggle multiple workstreams and keep things on track.

Data-literate:

comfortable with spreadsheets, CRM exports, and basic data quality checks. Excellent documentation and communication skills-can turn messy findings into clear summaries. Experience working cross-functionally with Sales, Marketing, or Operations teams. Self-starter who's comfortable with ambiguity and figuring things out. Bachelor's degree in Business, Information Systems, or related field (or equivalent experience). Nice to

Have:

Experience with prompt engineering or building AI workflows (Zapier, Power Automate, Make). Familiarity with CRM platforms (Salesforce, HubSpot) or marketing automation tools. Background in change management, training development, or user adoption programs.

Understanding of AI concepts:

LLMs, RAG, agentic AI, tokens, and governance. Experience with data visualization tools (Tableau, Power BI, Looker). Certifications in PM (PMP, Scrum), AI fundamentals, or process improvement (Lean/Six Sigma). Hands-on experience with ERP systems such as Oracle Fusion, SAP S/4HANA, NetSuite, or similar cloud-based ERP/SaaS platforms. Understanding of ERP business processes (order-to-cash, procure-to-pay, record-to-report) and how AI can streamline or augment them. Experience extracting, cleaning, or reporting on data from ERP systems to support AI pilots or automation projects.