True Talent Solutions Partners
Product Manager, AI Platform
- San Francisco, California
- Hybrid
- full time
- $160k–$240k/year
- Posted yesterday
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About the role
About the Role
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.
What You'll Do
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.
What We're Looking For
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.
Compensation & Benefits
Base salary: $160,000 to $240,000 annually. Visa sponsorship is not available.
Location
Hybrid, with three days per week in San Francisco, California.
Skills
- Product Management
- Software Engineering
- B2B SaaS
- AI
- Prototyping
- Full-stack Development
- Computer Science Fundamentals
- Customer Discovery
- Technical Judgment
- Workflow Optimization
- Data Analysis
- Stakeholder Management
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