Hybrid AI Enablement – Systems Manager

Posted last week

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About the role

  • AI Enablement & Systems Manager overseeing internal AI infrastructure at Wantable. Responsible for architecting systems, managing budget, and driving automation adoption across departments.

Responsibilities

  • 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

  • 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/GitHub proficiency
  • Strong understanding of model tradeoffs (latency, cost, safety)
  • **Nice To Have**
  • Experience with AI agent frameworks or orchestration platforms
  • Prompt engineering and evaluation frameworks
  • E-commerce, retail, or DTC experience
  • Cloud or self-hosted infrastructure experience
  • SQL and data warehousing familiarity
  • Experience building internal AI governance programs

Benefits

  • Be part of a dynamic, fast-growing company that has innovation and creativity embedded in its DNA.
  • A chance to shape our customers’ journey and leave a lasting impact on their self-confidence, one order at a time.
  • Join a collaborative environment where your ideas matter, your efforts are rewarded and you can see results in real time.
  • We have a laid-back, casual environment in a state-of-the-art HQ in Walkers Point.
  • We offer flexible schedules, paid parental leave (mothers AND fathers), and a private room for nursing mothers.
  • Even more exciting: paid vacation and seven paid holidays per year, plus a 50% discount on all merchandise. You’ll be eligible for the discount on your first day.
  • Important, but maybe less thrilling: we have ample parking, we offer medical (traditional and high deductible), dental, and vision insurance, as well as a 401K (both pre-tax and Roth options).

Job title

AI Enablement – Systems Manager

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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