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# Product Manager, AI Platform

- **Company:** True Talent Solutions LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $160,000 - $240,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Spreadsheets, AI Platforms, Information Technology, Legacy Systems
- **Published:** November 12, 2026
- **Apply:** https://www.careerbuilder.com/job-details/product-manager-ai-platform-san-francisco-ca--a7d635cf-6c6f-48d3-8e4d-41bbe636e936

## About the Role

Artificial Intelligence (AI), Product Management, Medical Records, Spreadsheets, Time Management, Artificial Intelligence (AI), Home Care, Patient Care, Billing Records, Customer/Client Research, * At least 3 years of product management experience, including work at an early-stage or high-growth startup.

 * A hands-on engineering or coding background, ideally including at least 2 years of full-stack software engineering experience before moving into product.
 * Strong product judgment and experience with B2B SaaS, workflow-heavy products, or modernizing legacy platforms.
 * Healthcare technology or experience in another regulated industry is a plus.
 * A customer-focused, low-ego approach, with a willingness to prototype, collaborate closely with engineers, and stay hands-on.
 * Strong computer science fundamentals and a bachelor's degree in computer science.
 * Authorization to work in the United States without visa sponsorship.

## Description

Join an early-stage healthtech company building an AI-enabled medical record platform for home health agencies. You will turn manual, spreadsheet-heavy workflows into practical products that help agencies work more efficiently and support timely patient care., * Talk with and shadow customers across intake, scheduling, billing, and documentation to identify their most important workflow challenges.

 * Build quick prototypes, demonstrate them to users, and gather feedback to guide rapid iterations.
 * Partner closely with engineering, spending about half your time translating customer insights into product decisions and reviewing work from start to finish.
 * Turn individual customer requests into scalable features across both new products and the core platform.
 * Own outcomes including product adoption, usage, customer satisfaction, and time saved, and share findings regularly with company leadership.