Head of AI Agent Systems

Wonderschool • San Francisco, CA

2d

About The Position

Wonderschool is seeking a Head of AI Agent Systems to lead the design, performance, and evolution of their multi-agent system. This role is crucial for transforming a partially functional agent system into a production-grade platform that directly drives revenue. The position involves improving customer acquisition, onboarding, business operations, and product iteration through AI automation. It's a hands-on role where the individual will work directly with the codebase, agent system, and infrastructure, while also leading a small team of engineers. The goal is to make the system practical, reliable, and directly tied to business outcomes, reporting directly to the CEO.

Requirements

• 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
• Ability to operate in a fast-paced, high-ownership environment

Nice To Haves

• Experience building internal tools or developer systems is strongly preferred
• 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

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 teams 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 degrading.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 1-10 employees