AI Strategy & Applications Lead

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