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
