Product Manager: AI-Driven Patient Experience & Retention

Health Data Innovations, Inc.

New York (NY)

Hybrid

USD 170,000 - 200,000

Full time

14 days+

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Benefits offered by this job

Equity
Hybrid work (Union Square NYC)
Unlimited PTO
Full benefits

Job summary

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

Qualifications

  • Experience owning retention, lifecycle, or growth in a D2C product.
  • Able to build, prototype, and debug with AI and speak engineers' language.
  • Strong technical foundation from a CS/engineering degree or hands-on software work.
  • Experience evaluating LLM/AI systems quality and safety.
  • Comfort with high ownership and minimal guardrails.
  • Experience in healthtech/regulatory contexts is a plus.

Responsibilities

  • Own the end-to-end patient experience, including retention metrics and lifecycle communications.
  • Define where AI handles interactions versus human involvement, and measure outcomes.
  • Lead LLM evaluation, quality rubrics, and safety monitoring in production.
  • Maintain rapid experiment velocity with a prioritized backlog and learnings.
  • Define success metrics for retention and AI quality and prove them with data.

Skills

Retention & LTV
AI-native
Technical fluency
LLM evaluation
Data-driven decisions
High ownership
Healthcare safety

Education

Bachelor's in Computer Science or Engineering

Job description

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

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