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Conduit Health

Product Manager - Patient Experience

New York, United States

Location
New York, United States
Work
Hybrid
Employment
Full-time
Level
Mid level
Function
Product
Pay
$170K – $200K a year (read from the ad)
Posted
5 months ago

Pay and the market here

The top of this role’s range, $200K a year, is about the median of $200K for mid level product jobs in New York (middle half $155K – $240K, 77 jobs that state pay).

692 product jobs open in New York: 12% remote, 195 posted in the last 30 days.

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About the role

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.
  • 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.

The Details

  • 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.

Source

Posted by Conduit Health on their own hiring page, jobs.ashbyhq.com. OptiTalent shows it as published, read 07 Nov 2026 11:50 UTC; the original is the reference.

View the original ad ↗

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