Head of AI Agent Systems

Position Summary

The Head of AI Agent Systems owns the design, performance, and evolution of Wonderschool’s multi-agent system. This role is responsible for turning a partially working agent system into a production-grade platform that directly drives revenue by improving how we acquire customers, onboard them, operate their businesses, and iterate on product.

Responsibilities

• Drive Revenue Through Agent Systems
• Design and deploy agent-driven workflows that directly impact revenue generation
• Improve conversion, onboarding speed, and provider revenue through automation
• Partner with product and go-to-market to identify high-leverage revenue opportunities and implement them through agent systems
• Use agents to accelerate experimentation on pricing, enrollment, and growth features
• Tie agent performance to business outcomes such as revenue growth, conversion rates, and usage
• Own Agent System Architecture and Performance
• Own the architecture of the multi-agent system including OpenClaw, Claude Code, GBrain, and internal tooling
• Improve agent output quality so outputs are usable without heavy human correction
• Identify and fix system-level issues including poor outputs, coordination failures, memory loss, and context limitations
• Design evaluation systems to measure success rates, failure modes, and reliability
• Build a Reliable Multi-Agent Execution System
• Redesign agent workflows so core processes execute reliably end-to-end
• Ensure product development workflows from requirements through deploy can run through agents
• Improve agent-to-agent coordination so tasks are completed without manual intervention
• Introduce validation layers, retry logic, and clear ownership across workflows
• Drive Adoption Across the Company
• Enable engineering, product, design, go-to-market, and operations teams to use agents in their daily workflows
• Define and enforce standards for how work is done using agents
• Reduce reliance on manual processes by shifting execution to agent systems
• Ensure systems are usable by non-engineers
• Build Measurement and Feedback Loops
• Implement system-wide reporting on agent performance
• Track success rates, failure types, task completion, and human intervention
• Use this data to continuously improve system performance
• Create a system that improves over time rather than degrades
• Lead and Scale the Team
• Lead a small team of 2-3 engineers including DevOps
• Hire and develop engineers who can build and operate agent systems
• Maintain a high performance bar and clear accountability
• Balance hands-on work with team leadership
• Drive Business Impact
• Increase provider revenue and platform usage through better systems
• Improve speed of shipping features tied to revenue and growth
• Automate workflows that reduce cost and increase margins
• Support fraud detection and compliance systems that protect revenue and improve program integrity

Required Qualifications

• Strong engineering background with experience building and shipping production systems
• Experience working with AI systems, LLMs, or automation in a real environment
• Experience debugging complex systems and improving reliability
• Ability to work directly in code and system architecture
• Experience building internal tools or developer systems is strongly preferred
• Ability to operate in a fast-paced, high-ownership environment

Preferred Qualifications

• Experience building or working with multi-agent systems
• Experience with workflow automation or internal platforms
• Experience working with regulated systems or compliance-heavy environments
• Background as a founder or early engineer at a startup