Youlify INC

Product Manager

Palo Alto, CA · Mid · Full-time

Sponsorship not specifiedDetected 25 days ago

Product ManagementLogisticsCommunicationCollaboration

About the role

We're looking for a Product Manager who operates at the intersection of product, engineering, and customer success.
You'll work directly with customers to understand revenue cycle workflows, identify automation opportunities, and translate operational complexity into scalable AI-driven product capabilities.

Own the full product lifecycle - from discovery and problem definition to spec writing, design collaboration, testing, launch, and iteration.
Partner closely with engineering to scope features, define edge cases, prioritize tradeoffs, and deliver high-quality implementations.
Design intuitive user experiences that combine automation, intelligence, and operational clarity.
Create clear documentation, process maps, and product specifications that drive alignment and execution.
Track timelines, manage cross-functional dependencies, and ensure smooth internal and external execution and launches.
Experience building or working with AI-powered products, automation platforms, or agentic workflows.
We deliver end-to-end revenue cycle management (RCM) solutions through an AI-powered platform that augments revenue cycle teams.
We've got too much to build to be chasing each other down.

the follow-through, the blockers, the communication, the outcome.
See it through from start to finish, and make sure it lands.
We give our team real responsibility because we trust them to treat it that way.
In the pace of AI development, forward deployment, and the ability to translate customer needs into product are core to this role.
Balance short-term customer needs with long-term platform scalability and product strategy.
Use deployment insights, product metrics, and user feedback to continuously refine and expand AI agent capabilities.
Skills & Qualifications 4+ years of experience in product management or customer-facing product roles (forward deployment, solutions engineering, implementation), ideally in SaaS or healthtech.
Demonstrated ownership of complex product initiatives from concept through launch and iteration.

About Youlify Inc At Youlify, our mission is to transform the financial health of medical practices and healthcare systems with AI.
We help healthcare organizations increase revenue, reduce costs, and streamline operations by empowering their existing teams with intelligent automation, real-time insights, and modern infrastructure.
This is an incredibly exciting time to join Youlify as we scale rapidly, from serving individual medical groups to expanding to enterprise healthcare systems.
Backed by top Silicon Valley investors, we are building the future of healthcare financial infrastructure.
We're looking for people who own their commitments, communicate early when something's at risk, and never leave the team guessing.
Experience in healthcare operations, medical billing, revenue cycle management (RCM), or operationally intensive platforms (e.g., logistics, delivery, or enterprise service delivery).

Lead forward deployments with customers to deeply understand workflows, validate assumptions, and drive rapid adoption and measurable impact.
Comfort working directly with customers and cross-functional stakeholders in high-ownership environments.
If you can hear hard things, learn from them, and come back stronger, you're exactly who we're looking for.

Mid-Senior level Equal Opportunity Youlify is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

t opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more

This listing is sourced directly from Youlify INC's careers page and normalized into a canonical job model.