# Head of AI Agent Systems

**Company:** [Wonderschool](https://hotfix.jobs/companies/wonderschool)
**Location:** San Francisco, CA
**Role:** Engineering Management
**Skills:** Multi-Agent Systems, LLMs, Openclaw, Claude Code, Gbrain, DevOps, Workflow Automation, Ai Systems, Production Systems, Internal Tools
**Posted:** 2026-04-30

> Leads design, architecture, and productionization of multi-agent AI systems to drive revenue through automation in customer acquisition, onboarding, and operations. Hands-on coding while managing a small engineering team, focusing on reliability, measurement, and business outcomes.

## Job Description

## 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 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

## 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

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