Agent Deployment Operations

About the Role

Runbook is building an AI workforce to automate human busywork in the physical economy. You will join the post-sales Deployments team as a generalist, using Runbook's internal product stack to train AI agents with real-world operational workflows. This is a customer-facing role responsible for getting the AI product working within customer businesses, ensuring seamless and reliable automation.

Runbook is hiring Agent Ops Leads (new grads and early-career) and Senior Agent Ops Leads (experienced hires). Exceptional early-career candidates are encouraged to apply.

What You'll Own

• Simplify Complexity: Understand customer operational workflows, including emails, spreadsheets, documents, and legacy software, and engineer reliable AI agents to automate them.
• Customer Advisory: Build rapport with customers, understand their businesses, and design how AI agents integrate into their operations, acting as a strategic partner.
• Achieve Autonomy: Define agent performance standards and drive agents to achieve high levels of autonomous execution through prompt engineering, process adjustments, or engineering collaboration.
• End-to-End Ownership: Manage deployments from pilot to production, defining the work and feeding insights back into product iterations for continuous improvement.

Key Responsibilities

• Train AI agents with real-world, operational workflows.
• Deploy AI agents to handle customer operational tasks.
• Fine-tune agents to ensure reliable autonomous execution.

Requirements & Tech Stack

• AI Tooling: Ability to use AI tooling to engineer clean, reliable agents.
• Modern AI Stack: Desire to work with and become a power user of world-class AI tooling.
• AI-Assisted Development: Willingness to get hands-on in AI-assisted development.

Qualifications

• Sharp attention to detail and the ability to master new domains quickly.
• Exceptional English communication and interpersonal skills.
• Relentless problem-solving ability for ambiguous and complex challenges.
• High agency and a bias for action, with the ability to make decisions and fix issues proactively.
• First-principles thinking and systems sense.
• Technical aptitude and intellectual curiosity.

Even Better

• Experience building with AI.
• Domain knowledge of operationally-intensive industries.
• Experience in a high-growth technology startup.
• Educational background in an analytical field (e.g., STEM, computer science, economics, accounting, finance).