# Eric Junhan Kim

**Lead Product Manager** — Los Angeles, CA, United States

> Product manager with a Ph.D. in AI and healthcare, building B2B SaaS platforms and AI-native workflows for frontline workers and clinical operations.

Career Archetype: **All-Terrain Navigator** (HB-DG) — One of the first All-Terrain Navigators on Saywise

## Links

- LinkedIn: https://linkedin.com/in/eric-junhan-kim-ph-d-55b9272b4

## Experience

### Lead Product Manager, Kayla Health (2026-08 – present)
United States · Leading product for a B2B SaaS platform helping frontline healthcare workers stay in their jobs. Defined product scope and data boundaries for a worker mobile app and employer dashboard. Built the first working prototype and MVP end-to-end from pre-start onboarding through day 90, applying doctoral research on multilingual, culturally tailored conversational AI to product design.

### Founding Product Manager, NiaWell Health LLC (2025-08 – present)
Ann Arbor, MI · Architected an 8-agent AI customer support system for a 25-person healthcare startup, replacing manual triage and raising auto-answer accuracy from 46% to 77%. Built AI-native healthcare workflow prototypes focused on automating clinic operations, including patient message triage, staff review workflows, escalation logic, and back-office task routing.

### Lead Product Manager, Soft-berry (2023-01 – 2023-06)
Seoul, South Korea · Led product strategy for an EV charging platform mobile app. Enhanced user retention 25% for existing users and 50% for new users through a comprehensive main page revamp. Increased new-user charging card applications by 200% via A/B testing and achieved 80% faster product development while saving $100K/yr through resource optimization. Drove 30% YoY revenue growth by leading API pipeline development for B2B sales.

### User Experience Researcher (Contract), Mainstay (2022-07 – 2022-12)
• Conducted research with a Boston-based startup (Series B, Funding >30M USD) that deploys Conversational AI to support university students. • Analyzed student-chatbot conversation logs, qualitatively and quantitatively, to identify why students stop using the service.

### Lead Product Manager, Soft-berry (2022-05 – 2022-12)
Seoul, South Korea · Contributed to the EV charging platform mobile application with focus on user retention and onboarding optimization. Supported A/B testing initiatives and development cycle improvements that benefited overall product performance.

### Product Manager (Healthcare, AI), University of Michigan (2019-09 – 2026-08)
Ann Arbor, MI · Developed and presented an LLM-powered Conversational AI Agent for African American diabetes patients, with 200+ citations as first author in top conferences. Collaborated with 10 clinicians to gather requirements and led end-to-end product iteration, shipping 10+ iterations in 12 weeks. Validated early product-market fit with 80% retention in closed beta testing and achieved statistically significant improvements in engagement, usability, trust, and diabetes knowledge.

### Project Manager, Seoul National University (2017-07 – 2018-12)
• Developed an AI voice assistant capable of emotionally supporting teenagers through 2 studies involving 50 Korean high school students and analyzing the intents of 150+ dialogue utterances. • Generated and analyzed 200+ dialogue utterances after deploying the assistant to 7 teenagers who used it for 1 week

## Education

### Doctor of Philosophy in Information Science/Studies, University of Michigan (2019-09 – 2026-08)

### Information Science/Studies, Seoul National University (2017-09 – 2019-06)

### Business Administration and Management in General, Yonsei University (2010-09 – 2017-06)

## Skills

Large Language Models (LLM), Chatbot Development, Charging Systems, Microsoft Office, Information Science, Business Administration, Capabilities Development, Conversational AI, Medical Ethics, Python (Programming Language), Customer Satisfaction, Clinical Study Design, Survey Research, A/B Testing, Mixed Methods Research, Graphic Design Principles, Mobile Application Development, Stakeholder Workshops, Diabetes Management, AI Agent Architecture, User Experience Research, AI Prototyping, Proof-of-Concept Development, Problem Definition, SQL, Data Analysis, Cross-functional Leadership, AI Trust Research, AI Adoption Research, Healthcare Product Management, Product Strategy

## AI Fluency

- **Claude Code** (https://claude.com)
- **Claude** (https://claude.ai)

---
Source: https://saywise.com/ericjhk (last modified 2026-09-22T20:00:13.630Z)