True Talent Solutions Partners
Product Manager, AI Platform
- San Francisco, California
- Hybrid
- full time
- $160k–$240k/year
- Posted today
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About the role
About the Role
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.
What You'll Do
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.
What We're Looking For
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.
Compensation & Benefits
Base salary is $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
- AI Platform
- Full-stack Software Engineering
- B2B SaaS
- Prototyping
- Workflow Optimization
- Computer Science Fundamentals
- Healthcare Technology
- Data Analysis
- Customer Feedback
- Engineering Collaboration
- Legacy Platform Modernization
- Product Strategy
- Agile Methodology
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