# Product Manager, Conversational AI

**Company:** [Hinge Health](https://hotfix.jobs/companies/hinge-health)
**Location:** San Francisco, CA
**Role:** Product Management
**Salary:** $134k – $202k/yr
**Experience:** 2+ years
**Skills:** Product Management, Ai-Driven Software Products, Llm-Powered Products, Conversational Interfaces, Prompt Design, Evaluation Frameworks, Llm Performance Measurement, Cross-Functional Collaboration, Data Analysis, Ai Safety And Guardrails
**Posted:** 2026-06-19

> Lead end-to-end product strategy for an LLM-powered conversational care assistant, owning safety, performance, and member engagement while collaborating with Engineering, Design, Data Science, and Clinical teams.

## Job Description

## What You’ll Accomplish
- Establish clear baselines and evaluation frameworks for engagement, conversational success rates, and care team workload reduction.
- Ship meaningful improvements to the care assistant that measurably impact key KPIs. This includes new use cases, enhanced conversation flows, or safety/guardrail updates.
- Drive a measurable increase in member engagement by expanding the assistant’s ability to deliver timely, personalized, and high-quality guidance.
- Achieve reductions in Care Team workload by increasing the percentage of member needs handled safely and effectively through hybrid automation.
- Improve conversational performance through continuous iteration on prompts, workflows, escalation logic, and quality metrics.
- Partner with PMs and cross-functional teams to scale the assistant to additional product areas, increasing coverage of member needs and overall program impact.

## Basic Qualifications
- 2+ years of experience as a Product Manager building and shipping AI-driven software products.
- Direct experience working with LLM-powered products, including model-driven features, conversational interfaces, or agent-like systems.
- Familiarity with prompt design, evaluation frameworks, and LLM performance measurement.
- Experience driving cross-functional initiatives with Engineering, Design, Data Science, and specialized partners (e.g., Legal, Compliance).
- Strong analytical skills with the ability to use data to define problems, evaluate tradeoffs, and guide decisions.

## Preferred Qualifications
- Experience with AI safety, guardrails, or human-in-the-loop systems, especially in member- or customer-facing contexts.
- Background in healthcare, digital health, or regulated environments.
- Prior work collaborating with clinical teams or subject-matter experts.
- Experience building member-facing products at scale, particularly those driving engagement, retention, or behavior change.

## Benefits
- Comprehensive medical, dental, and vision coverage.
- Help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live.
- Traditional or Roth 401k retirement plan options with a 2% company match.
- Modern life stipends for learning and development.
- Discounted company stock through ESPP with easy payroll deductions.

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