AI Enablement & Systems Manager

• Zendesk
• Implement cost monitoring dashboard

Reports To: Senior Director of E-Commerce, DTC Brands
Location: Milwaukee, WI (Hybrid)
Employment Type: Full-Time, Salaried, Exempt
About Wantable

At Wantable, we’re redefining retail through personalization. Our membership-based model and proprietary technology empower us to curate products that help customers discover confidence and joy through style.

We are building an AI-first company. Teams across Marketing, Merchandising, Finance, Operations, CX, and Engineering are actively deploying AI agents and workflow automations to automate processes, generate insights, and amplify decision‑making across the business.

We’re hiring a Manager-level leader to own and scale the infrastructure that powers AI across the entire organization.

About

The Role
The AI Enablement & Systems Manager owns the architecture, governance, performance, and cost structure of Wantable’s internal AI ecosystem and sits at the intersection of LLM's, agents, workflow automation, and internal AI infrastructure.

This is a systems‑first role focused on building stable, scalable infrastructure for AI agents and automations across the company. While you will support departments and drive adoption, your primary responsibility is to design and maintain the underlying frameworks, integrations, guardrails, and standards that make AI reliable and production‑ready.

You Will:

• Architect and maintain our AI automation ecosystem
• Standardize infrastructure and workflows
• Own AI tool and API budget management
• Ensure cost efficiency, security, and reliability
• Establish governance and best practices
• Serve as the internal authority on AI systems for the entire organization

What You’ll Do 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

Requirements What We’re Looking For

• Hands‑on experience with workflow automation tools (e.g., N8N, Make, Zapier, or similar)
• Strong understanding of modern LLM ecosystems (Claude, OpenAI, Gemini, etc.)
• Experience building production‑grade AI agents and automations
• Experience with RAG, tool‑calling, and multi‑step orchestration
• API integration expertise (REST, webhooks, JSON)
• Scripting ability (Python and/or JavaScript/Node.js)
• Git/Git Hub proficiency
• Strong understanding of model tradeoffs (latency, cost, safety)

Nice To Have

• Experience with AI agent frameworks or orchestration platforms
• Prompt engineering and evaluation…