AI Strategy & Applications Lead

Role Summary The AI Strategy & Applications Lead owns the end-to-end application of AI across SeneGence to drive revenue, reduce cost, and unlock new platform capabilities. This is not a research role. It is a builder/operator role that identifies high-leverage business opportunities and deploys AI (LLMs, agents, automation) into production workflows. Core Mandate (What success looks like) Increase revenue (conversion, AOV, retention, distributor productivity) Reduce operational cost (automation, headcount efficiency, error reduction) Build internal AI capability (tools, workflows, knowledge systems) Establish the foundation for "SeneGence as a platform" through AI-powered distributor tools Key Responsibilities Business-First AI Deployment Identify high-ROI AI use cases across: Distributor experience (onboarding, selling tools, training) eCommerce (Shopify, TikTok Shop, Amazon optimization) Customer service (Gorgias automation, AI agents) Marketing (content generation, personalization, creative operations) Operations (forecasting, inventory, pricing optimization) Prioritize initiatives based on financial impact and speed to value Define clear business cases, success metrics, and expected outcomes for each initiative LLM & Agent Implementation Design, deploy, and manage LLM-based systems, including: Internal knowledge assistants (product, compensation plan, training) Distributor-facing AI advisors (selling scripts, skincare recommendations, field enablement) Customer-facing support agents integrated into existing channels Leverage third-party APIs (e.g., OpenAI, Anthropic) rather than building models from scratch Integrate AI solutions with Shopify, Dynamics, CRM, PIM/DAM, and other core platforms Automation & Workflow Design Replace manual, repetitive workflows with AI-driven processes and lightweight agent systems Build and orchestrate automations that: Execute tasks (reporting, content creation, support responses) Trigger actions across systems (notifications, updates, routing, workflow steps) Partner with IT and system owners while maintaining the ability to move quickly and ship independently using no-code/low-code and API-based tools Data Utilization Turn existing data (sales trends, distributor behavior, product performance, customer interactions) into usable intelligence Build practical outputs (dashboards, copilots, targeted reports) that drive decisions Ensure AI solutions are grounded in accurate, well-governed data Internal AI Enablement Train teams across marketing, eCommerce, customer service, and operations on effective use of AI tools Develop standardized prompts, workflows, and playbooks that can scale across the organization Act as the internal AI translator, connecting business needs with technical execution and ensuring leaders understand trade-offs and impact Candidate Profile Must Have Strong business instincts with the ability to quickly identify high-ROI opportunities Hands-on experience with: LLMs (ChatGPT, Claude, APIs) Automation tools (Zapier, Make, n8n, or similar) Data handling and analysis (Excel, BI tools, basic SQL or equivalent) Proven builder mindset with a track record of shipping, iterating, and measuring impact Comfortable operating in ambiguity and building structure where it does not yet exist Nice to Have Experience with Shopify, eCommerce, or direct selling / network marketing environments Exposure to CRM and CX tools (Gorgias, Salesforce, HubSpot, or similar) Familiarity with APIs, webhooks, and system integrations