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