AI Operations Lead
About Us
At OnMed, our purpose is simple but powerful: to improve the quality of life and sense of well-being in our communities by bringing access to healthcare to everyone, everywhere. Our innovative CareStation—a small but mighty, Clinic-in-a-Box—delivers healthcare access anywhere with an outlet to plug it in. Poised to become a key component in America's public health infrastructure, the OnMed CareStation is the only tech-enabled, AI-powered, human-delivered, hybrid care solution that combines the comprehensive experience, trust, and outcomes of a clinic with the rapid scalability of virtual care.
At OnMed, every role, every day, directly impacts the communities we serve. You'll join a high-performing, purpose-driven team innovating to break down barriers that keep people from the care they need. This is not just a job—it's a movement to bring healthcare where and when people need it most.
About You
You've built or managed AI agents in a live production environment, not just a pilot. You know how to identify repetitive, manual work within a team's day-to-day and transform it into a tested, reliable workflow—writing prompts, running pilots, and training users—without introducing security risks. You understand enterprise operations broadly, even where you're not the subject-matter expert. You think in systems: a two-tier agent architecture is an obvious solution to you, not a complex one. You continuously find unnecessary complexity and proactively seek simple solutions. You can explain what an agent is doing—and why—to someone who has never touched a prompt.
About the Role
OnMed runs on people, process, tech, and agents. Half of our business operations will run on AI agents. This role owns that half and builds the next: a two-tier agent fleet that executes and supervises business operations, with no finish line. The fleet grows every quarter, and so does this job.
- Tier 1 — Execution Agents: Build and maintain the AI agents that automate OnMed's business operations functions: finance, growth, legal, people ops, and beyond. Each agent replaces a repeatable, well-defined workflow, measured on output quality, not activity.
- Tier 2 — Supervisory Agents & Reporting: Design and deploy a supervisory layer that monitors Tier 1 output, catches drift and errors before they reach a person or client, and escalates what it can't resolve. This tier is OnMed's control tower. It also produces clean reports and an intuitive dashboard showing, at a glance, whether the fleet is in control, operating as expected, and driving the optimization we've committed to. If it isn't on the dashboard, it isn't being managed.
Responsibilities
- Build: Design, deploy, and integrate business operations agents across OnMed's functional areas, in partnership with the leaders who own each process.
- Manage: Own uptime, accuracy, and performance across the full fleet. Set the standard for "correct" in each function and hold every agent to it.
- Evangelize: Make the case, inside OnMed and out, for what agent-driven operations make possible. Bring functional leaders into the build, not around them.
- Optimize: Treat every agent as a draft. Refine prompts, workflows, and escalation rules weekly, based on insights from the supervisory tier.
- Simplify: Simplify the process before you automate it. Never automate complexity that shouldn't exist.
- Reduce Cost: Track and report cost-per-function before and after automation. Cost reduction is a stated outcome, not a side effect.
- Report: Own the dashboard and reporting layer that makes fleet performance visible to leadership on a regular cadence, not on request.
- Partner: Work with Engineering to ensure infrastructure readiness and collaborate on knowledge management and optimization opportunities.
Reporting Structure
This role reports directly to the Chief Operating Officer, with a dotted-line reporting relationship to the Chief Technology Officer. You will work cross-functionally with every OnMed function running an automated process. The AI Operations Lead owns the review of the supervisory reports and dashboard end-to-end, including ongoing reviews with the COO and CEO.
Requirements
- Hands-on experience building or managing AI agents in a live production environment.
- Working knowledge of enterprise operations across finance, legal, people ops, and growth.
- Systems thinking, applied to multi-tier automation and escalation design.
- Ability to translate technical agent behavior into plain language for non-technical stakeholders.
- Ability to teach and upskill non-technical staff on new AI tools and workflows, translating technical capability into practical, everyday use.
Qualifications
- Bachelor's degree in a related field (business, computer science, engineering, or operations).
- 5+ years in business operations, technical operations, or a builder-type role, including direct, hands-on experience designing, deploying, or managing AI agents/automation in a live production environment.
- Experience working cross-functionally across at least two business functions: finance, legal, people ops, or growth—enough to understand how those functions operate, even without deep domain expertise.
- Track record owning a system or process end-to-end, including uptime, accuracy, and/or performance metrics—not just recommending changes but being accountable for outcomes.
Benefits
- Competitive salary and benefits package.
- Unlimited PTO and paid holidays.
Pay
The base salary for this role is $130,000 - $150,000, commensurate with the candidate's experience, plus a discretionary annual bonus.