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Conduit Health in New York City seeks a product leader to own the patient experience end-to-end across telehealth, DME orders, and lifecycle communications. You will shape retention, LTV, and AI-enabled interactions, deciding when AI handles vs when humans step in, and measuring impact with robust evaluation.
You will collaborate with Product, Growth Marketing, and Clinical Operations, balancing high ownership with a strong technical backbone and data-driven decision making to improve patient
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.
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.
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.
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.
You think in cohorts and behavioral data — and you know when the data is lying to you.
You've evaluated or managed the quality of LLM/AI systems — rubrics, eval sets, regressions, safety — or you're hungry to own it.
Comfortable with high ownership and minimal guardrails — you don't wait to be told what to prioritize.
High-trust judgment — you care about clarity, trust, and safety in a healthcare context.
Bonus: healthtech, fintech, or regulated industries; lifecycle marketing exposure.
Competitive salary + meaningful equity
Hybrid, Union Square NYC (3 days/week)
Unlimited PTO + 9 company holidays
Full benefits
Equal Opportunity
Conduit Health is an equal-opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees.
Location: New York City | Type: Full time | Hybrid | Department: Product | Salary: $170K–$200K. We are willing to go above this range for exceptional candidates with specialized expertise whose background exceeds the requirements.