Agent Deployment Operations

Runbook • San Francisco, CA

1d

About The Position

Runbook is building AI agents to automate operational workflows for companies in the physical economy. The company’s agents handle complex, multi-day workflows and are deployed with customers ranging from mid-market field services companies to Fortune 500 enterprises.

This customer-facing role is part of the post-sales Deployments team. The role uses Runbook’s internal product stack to train agents on real-world operational workflows, helping them take on core work reliably. You will learn how a customer’s processes work, deploy and fine-tune AI agents, and help move them from pilot to production. The position involves close work with customers, product managers, engineers, and the founding team. Runbook is hiring Agent Ops Leads for new graduates and early-career candidates, as well as Senior Agent Ops Leads for experienced hires.

Requirements

• Sharp attention to detail and the ability to catch incorrect assumptions before they cause downstream problems.
• Ability to learn unfamiliar domains quickly.
• Exceptional English communication and interpersonal skills, including the ability to lead customer working sessions and collaborate with product and engineering teams.
• Persistent problem-solving ability and willingness to test approaches to make workflows work reliably at a high quality bar.
• High agency, bias for action, and willingness to take responsibility for fixing problems.
• 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

• Experience building AI projects worth discussing.
• Domain knowledge in operationally intensive industries.
• Experience in a high-growth technology startup environment.
• An educational background in an analytical field such as STEM, computer science, economics, accounting, or finance.

Responsibilities

• Understand customers’ actual business processes and requirements across emails, spreadsheets, documents, and legacy software.
• Use AI tooling to configure and develop agents that handle customer workflows reliably.
• Build rapport with customers, learn how their businesses operate, and advise them on how agents can fit into their work.
• Set performance expectations for agents and drive improvements through prompt engineering, SKILL.md files, process changes, or collaboration with engineering.
• Own deployments from initial pilot through production launch.
• Feed deployment learnings back into product iterations to improve future deployments.
• Collaborate with customers, product managers, engineers, and the founding team.

What This Job Offers

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