AI Native Technical Operations Lead - PH

Own the operational backbone of an AI-native platform. From the ground up.

We are a fully capitalized HealthTech SaaS company building an AI-native platform from scratch — not a legacy system with AI bolted on. AI is core to our architecture, our development workflow, and our product. We are backed by a Miami-based family office with a long runway, zero burn-rate pressure, and an ambitious product roadmap.

We are hiring our first technical operations hire — someone who owns the operational layer of our AI-assisted development workflow so our engineering leadership can stay focused on high-leverage product development.

If you've ever been frustrated running in environments where AI tools are an afterthought, where you're blocked by process more than progress, or where your technical contributions disappear into a slow-moving bureaucracy — this is your chance to build something different.

What makes this different

-
AI-native from Day 1 — the entire development workflow runs on AI-assisted tools (Claude Code, Cursor, Copilot)
-
You are a foundational hire at a platform targeting a multi-billion-dollar market
-
Fully capitalized by a family office — no fundraising pressure, no down-round risk
-
Proven leadership — founders have built and exited multiple companies at scale
-
Direct access — no layers, no committees; your work has immediate, visible impact

What you'll build

• Development environment setup and staging protocols
• CI/CD pipelines and infrastructure monitoring systems
• Regression testing and QA frameworks
• Technical documentation and audit trail processes
• Product backlog and sprint planning infrastructure
• API integration prototypes (healthcare APIs, payments, scheduling)

What you'll do day-to-day

• Prepare development environments, run test suites, and stage context ahead of engineering sessions
• Review and test all code produced during engineering sessions — regression testing, edge case identification, and bug documentation
• Manage CI/CD pipelines, staging and production deployments, and infrastructure monitoring
• Handle lower-complexity coding tasks independently using AI-assisted workflows (30–40% of role)
• Build out tests, fix non-critical bugs, implement UI refinements, and create utility scripts
• Research and prototype third-party API integrations (healthcare, payments, scheduling)
• Maintain technical documentation current with each sprint
• Support regulatory compliance requirements with documentation and audit trails

Requirements

• This is non-negotiable: you must already be building software with AI coding tools every day — Claude Code, Cursor, Copilot, or similar. If you can't show us something you built with AI tools in the last 60 days, this isn't the right role.
• 3–7 years of engineering experience across the full stack
• Strong QA and testing discipline — meticulous, not just functional
• Comfort working across multiple languages and frameworks
• DevOps experience (CI/CD, Docker, cloud infrastructure)
• Self-directed work style — you don't need daily standups to stay productive

Strongly preferred

• Experience in HealthTech or regulated SaaS environments
• Familiarity with healthcare compliance documentation requirements
• Startup or early-stage, not just fake experience — you build systems and follow them
• Excitement about early-stage building, not fear of ambiguity