> Markdown version of [/jobs/ext/4625069-product-manager-ai-platform](https://www.wearedevelopers.com/jobs/ext/4625069-product-manager-ai-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Product Manager, AI Platform

- **Company:** True Talent Solutions LLC
- **Location:** San Francisco, CA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Spreadsheets, Computer Programming, Software Engineering, AI Platforms
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_9ec05aade0efd61fa9becb6a089edc8f

## About the Role

* At least 1 year of product management experience, with experience at an early-stage or high-growth startup; 3 or more years of combined engineering and product experience is preferred.
 * Hands-on software engineering or coding experience, such as full-stack development or founding engineering work, and strong technical judgment.
 * Experience building B2B SaaS products, especially workflow-heavy or operational products, or modernizing legacy platforms.
 * Healthcare technology, AI, or another regulated industry background is a plus.
 * A customer-focused, practical approach, strong product sense, and willingness to stay hands-on across discovery and delivery.
 * Strong computer science fundamentals.

## Description

Join an early-stage healthtech company building AI-powered products for home health agencies. You will shape a new medical record platform, replacing spreadsheet-heavy workflows with tools that help agencies work more efficiently and patients receive care sooner., * Interview and shadow home health teams across intake, scheduling, billing, and documentation to identify their most important needs.

 * Build fast prototypes, demonstrate them to users, and use feedback to guide improvements.
 * Work closely with engineering, spending approximately half your time translating customer insights into product direction and reviewing implementations.
 * Turn individual customer requests into scalable products and platform improvements.
 * Own outcomes such as adoption, usage, user satisfaction, and time saved, and regularly share learnings with company leadership.