About Conduit Health

We're rebuilding how post-acute care gets done in America — AI-powered, vertically integrated, and relentlessly focused on getting patients what they need without the bureaucratic nightmare. $22M+ raised, scaling fast, and what we build in the next 12 months will touch hundreds of thousands of patients.

The Role

This is not a supporting role. You'll own the patient experience end-to-end — the ongoing telehealth relationship, the DME order journey, and every lifecycle touchpoint — with one job: keep patients engaged and drive LTV and retention.

A big part of that is AI. Our SMS and Voice AI systems increasingly are the patient experience, and you'll own their quality — deciding where AI runs the interaction, where it assists a human, and where a human takes over, then proving it works through disciplined evaluation.

You'll work across Patient Experience, Growth Marketing, and Clinical Operations with real autonomy and a high bar. We want someone who reaches for AI before reaching for headcount and is comfortable bridging business problems with technical solutions.

What You'll Own

• Retention & LTV — own the metrics and the roadmap that move them.
• The end-to-end patient experience — ongoing telehealth, the DME order journey, and lifecycle comms, treated as one system, not a set of screens.
• AI-powered support — decide where AI handles patient interactions end-to-end, where it assists a human, and where a human stays in the loop.
• LLM evaluation & quality — define what “good” looks like for our SMS and Voice AI, build eval sets from real conversations, catch regressions before they ship, and monitor safety in production.
• Experiment velocity — a prioritized backlog of retention experiments and enhancements, shipped and learned from fast.
• Metrics — define what “working” means for both retention and AI quality, and prove it.

Who You Are

• 4+ years in product — with meaningful time owning retention, lifecycle, or growth in a D2C product.
• AI-native and technically fluent: you build, prototype, and debug with AI, can speak the language of engineers, and are comfortable reasoning through potential technical solutions and tradeoffs.
• You bring a strong technical foundation — whether through a degree in computer science or engineering, previous experience as a software engineer, or deep hands-on experience working with technical teams.