Senior Product Manager

present of AI; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

present of AI in San Francisco is seeking a product manager to own a product area of a clinical AI platform from early research through adoption and measured results. You will collaborate with clinicians, data teams, and engineers to ensure the solution delivers measurable value and trusted outcomes.

You will learn an AI-driven domain by observing real users, defining quality metrics, and deciding when automation is safe to scale while maintaining clinician trust.

Qualifications

• About five years of product experience is expected.
• Learns complex domains quickly by watching real users.
• Comfortable with AI products, data, APIs and system integrations.
• Good judgment, clear writing and steady decisions with incomplete information.

Responsibilities

• Own one product area of a clinical AI platform from early research through adoption and measured results.
• Define success metrics and drive the product roadmap with cross‑functional teams.
• Collaborate with clinicians and engineers to ensure output safety and trust.
• Establish quality checks and decide when automation should run vs. require human review.

Skills

Product management

AI products

APIs

System integrations

Clinical domain

Tools

APIs

Job description

The role asks for a product manager who can own one product area of a clinical AI platform from early research through adoption and measured results. A strong candidate has about five years of product experience, learns complicated fields fast by watching real users, and is comfortable with AI products, data, APIs and system integrations. Good judgment, clear writing and steady decisions with incomplete information matter a lot, and healthcare experience is welcome but not required.

How it fits the AI era

AI does much of the first draft work here, such as writing visit notes and suggesting codes, so the product manager's job shifts toward deciding how good the output must be and when it can be trusted. Setting up quality checks, spotting where errors happen and choosing when a person must review versus when work can run on its own are central tasks. What stays human is earning clinicians' trust, understanding how care teams really work, and judging what is safe to automate in high-stakes settings.

How it builds AI experience

Someone in this role would gain hands-on experience with AI that listens to clinical visits and produces documentation, coding and clinical checks, including how quality is measured and how autonomy is expanded step by step. To build this ahead of time, try an AI note taking or drafting tool, write a simple way to score its mistakes, and shadow professionals in a busy workflow to see where automation helps or adds work.

Worth showing

• Shipped complex, multi-user products
• Learned a new domain fast
• Defined AI quality measures
• Clinician or user research in person
• Worked with APIs and integrations

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Ambience Healthcare

AI that listens to clinical visits and drafts the documentation, coding and clinical checks so doctors spend less time on the screen.