Wantable

Artificial Intelligence

• Own AI Infrastructure & Architecture
• Design and maintain Wantable’s AI systems architecture
• Deploy and manage AI agents across departments
• Architect agent hierarchies (master agents, sub-agents, permissions, access controls)
• Build scalable workflow automations that integrate AI with business systems
• Implement retrieval-based workflows (RAG), tool-calling, and multi-step agent orchestration
• Ensure systems are production-ready, stable, secure, and documented
• Integrations & Internal Tooling
• Build and maintain integrations with:
• Asana
• Google Workspace
• Zendesk
• Ecommerce & operations platforms
• Internal systems (e.g., Modus)
• Develop lightweight internal tools (dashboards, bots, web apps)
• Standardize API usage, authentication methods, and webhook handling
• Maintain secure data handling practices across AI workflows
• Own the AI Tool Budget & Cost Governance
• Manage and optimize AI API usage across LLM providers
• Monitor departmental usage via API keys or cost centers
• Optimize model selection for cost vs. performance
• Forecast AI spend and maintain predictable budgets
• Recommend tool stack changes based on ROI and reliability
• Own vendor evaluations and purchasing decisions
• Standardization, Governance & Knowledge Management
• Establish standards for:
• Agent configuration
• Naming conventions
• Documentation
• Prompt versioning
• Own the shared repository for:
• Company knowledge
• SOPs
• Prompt libraries
• Agent configurations
• Implement guardrails for safe and responsible AI usage
• Maintain version control and regression testing processes
• Create reusable templates for departmental AI deployments
• Support & Enablement
• Serve as the internal escalation point for AI agent issues
• Debug integration failures, workflow instability, and memory issues
• Train department leads on agent usage and best practices
• Create onboarding documentation and internal playbooks
• Build a network of AI champions across departments

AI Enablement – Systems Manager

• **What You’ll Do**
• **Reinvent Planning Through AI & Automation**
• - Architect the Future of Merchandising: Build a **self-correcting forecasting engine** that handles traditional OTB (Open-to-Buy) management and inventory targets using LLM-based decision tools and automated workflows to eliminate "busy work".
• - The Planning Sandbox: Approach seasonal planning and demand modeling like an engineer; use your **"outside the box" thinking** to prototype agent-based simulations and predictive replenishment triggers that ensure we never miss a trend.
• - High-Efficiency Planning Workflows: Identify manual or repetitive tasks within the planning cycle—from margin analysis to allocation—and aggressively replace them with high-efficiency automation or AI copilots.
• - Applied Mathematics & Optimization: Design tools that don’t just "report" data but **use your analytical rigor to compress** decision cycles, evaluate complex margin models, and maximize the team’s productivity.
• - Tool-Building for Planners: Act as a **hybrid creator** who develops custom planning tools and KPIs when off-the-shelf solutions aren't fast or smart enough for our growth.
• **Own Inventory & Merchandise Planning**
• - Lead and own all merchandise planning, allocation, and inventory management strategies to maximize revenue and margin.
• - Build and maintain financial and unit-level forecasts using **AI-enhanced modeling** to align merchandising, product development, and operations.
• - Oversee seasonal and long-range OTB plans and deploy **predictive algorithms** to balance growth with inventory productivity.
• - Drive in-season agility using **real-time data and automated alerts** for reorders, markdowns, and product flow adjustments.
• - Partner with Merchandising and Product Development to support Wantable’s expanding private brands using **AI-powered sell-through forecasting and attribute-level demand modeling**.
• **Lead a High-Performing, AI-Fluent Team**
• - Develop and coach a planning team that embraces experimentation, autonomy, and data-driven decision-making.
• - Promote a culture of curiosity—where planners feel empowered to build tools, run rapid tests, and challenge legacy processes.
• - Ensure the team is skilled in** AI copilots, prompt engineering fundamentals, analytics tools, and automated reporting systems.**
• **Drive The Data Evolution**
• - Oversee creation of AI-optimized dashboards, predictive analytics, and self-updating reporting tools.
• - Collaborate closely with Data Science and Engineering to deploy new algorithms and ensure model performance is measurable and stable.
• - Use AI-assisted analysis to uncover new opportunities to improve margins, reduce inventory waste, and accelerate product flow.

AI Enablement – Systems Manager

Senior Director, Inventory and Merchandise Planning – AI, Automation Focused