Agent Deployment Operations

Runbook • San Francisco, CA

2d

About The Position

Runbook is building AI agents that automate operational workflows for companies in the physical economy. The post-sales Deployments team uses Runbook’s internal product stack to train agents on real-world customer workflows, with the goal of automating core work reliably. This customer-facing generalist role involves understanding how customer processes work, deploying agents into those businesses, and refining them until they can operate reliably in production.

The role owns deployments from initial pilot through production launch. It combines workflow analysis, customer partnership, agent performance improvement, and feedback to product iterations. Runbook is hiring Agent Ops Leads for new graduates and early-career candidates, as well as Senior Agent Ops Leads for experienced candidates; exceptional early-career applicants are encouraged to apply.

Requirements

• Sharp attention to detail and the ability to identify incorrect assumptions before they cause downstream problems.
• Ability to quickly learn unfamiliar domains.
• Exceptional English communication and interpersonal skills, including the ability to lead customer working sessions and collaborate with product managers and engineers.
• Strong problem-solving skills and persistence in testing approaches to make workflows work reliably and meet a high quality bar.
• High agency, bias for action, and willingness to fix problems without waiting for permission.
• First-principles thinking and systems sense.
• Technical aptitude, intellectual curiosity, and willingness to work hands-on with AI-assisted development and modern AI tools.

Nice To Haves

• Built AI projects they are proud to discuss.
• Knowledge of operationally intensive industries.
• Experience in a high-growth technology startup.
• Educational background in an analytical field such as STEM, computer science, economics, accounting, or finance.

Responsibilities

• Analyze customer workflows and requirements, then use AI tooling to turn complex processes into reliable agents.
• Build rapport with customers, understand their businesses, and advise them on how agents can fit into their operations.
• Set performance standards for agents and improve their autonomy through prompt engineering, creating or updating SKILL.md files, changing processes, or collaborating with engineering.
• Own deployments end to end, from the first pilot through production launch.
• Feed deployment learnings and solved problems back into long-term product iterations.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed