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