Head of Agent Ops

GC AI • San Mateo, CA

28d

About The Position

You'll own the internal AI infrastructure that makes our team unreasonably fast.
That means building, evaluating vendors, and continuously evolving the AI
systems our team runs on, with the goal of maximizing every person's clock speed
and scaling our ability to deploy agents across the business.

You'll sit at the intersection of engineering, operations, and strategy,
building the internal tools, workflows, and AI-powered systems that eliminate
manual work across Sales, Marketing, Customer Success, Finance, Legal, People
Ops, and Product.
If you’ve ever wanted to build the “agent operating system” inside one of the
fastest-growing AI infrastructure startups, this is your shot.

Requirements

• A technical practitioner. You understand how models actually work, not just API calls, but attention, context windows, inference tradeoffs, tool use patterns. You read papers. But your first instinct is always to build, not to theorize. You've shipped real systems that automate real work.
• Someone with battle-tested opinions on AI-assisted development. You've pushed vibe coding techniques far enough to know where they break. You have strong, experience-driven opinions about what works and what doesn't, grounded in first principles. You know when to let the model drive and when to take the wheel.
• An automation obsessive. You've already automated your own life to a degree that others find somewhat unhinged. You see manual processes the way most people see bugs, something that shouldn't exist and won't for long.

Responsibilities

• Build agentic infrastructure that spans the full company.
• Own the company's AI tooling strategy: evaluate vendors, make build-vs-buy decisions, implement tools, and drive adoption.
• Design and deploy internal applications using modern AI coding tools (Claude Code, Cursor, Replit) that solve real workflow problems for non-technical teams.
• Create and maintain integrations across the company's core systems (CRM, HRIS, project management, communication tools).
• Run office hours and training sessions to drive adoption, and create documentation (Loom walkthroughs, written guides) so teams can self-serve.
• Establish governance frameworks for AI tool usage, data handling, and security across the org.

What This Job Offers

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