Product Manager

Qualified Health is redefining healthcare with Generative AI infrastructure for safe AI governance, healthcare-specific agents, and algorithm monitoring. The Product Manager will own the denials and appeals product end to end, developing requirements with customers and partnering with engineering and design to deliver, launch, and improve AI-powered clinical and financial workflow software.

Responsibilities

• Own the denials and appeals product end to end — discovery, requirements, delivery, launch, and iteration
• Define what good looks like for an AI feature in a clinical and financial workflow: accuracy thresholds, human review points, failure behavior, and the production metrics that prove it works
• Manage the day-to-day interaction between customers, design, and engineering: translate requests into clear, buildable work with real acceptance criteria
• Own prioritization across competing customer needs, and the reasoning behind each call
• Take features from zero to one — shape the concept, get something real in front of customers fast, and iterate on what you learn
• Feed patterns back into the roadmap: when three customers ask for the same thing, be the person who noticed
• Coordinate with the teams owning Utilization Review and the peer-to-peer tool so the Medical Necessity products feel like one coherent suite

Preferred

• Zero-to-one experience — you have led the launch of a new product or major product area, or been close enough to one to know how it actually goes
• Healthcare domain knowledge, especially revenue cycle management, denials and appeals, prior authorization, or utilization review
• Experience at a mid-size company — scope broad enough to own something real, organization structured enough to ship reliably
• Exposure to enterprise or health system customers, and to the reality that every customer wants something slightly different
• Familiarity with healthcare workflows, terminology, or health system IT environments
• Genuine appetite to go deep on the utilization review and medical necessity domain
• Familiarity with Linear and Notions
• Execution Bias: You would rather close ten things than debate one. You default to making the list and working the list
• Builder Instincts: You reach for a prototype or a working example rather than a longer document. Deep vibe-coding skill is not required — our analysts handle much of the early build — but you think like someone who makes things
• Ownership: Given an ambiguous customer request, you drive it to a decision rather than waiting for one
• Cross-Functional Judgment: You can sit between a customer, a designer, and an engineer and make all three feel heard while still moving the work forward
• Prioritization Instinct: When two customers want incompatible things in the same sprint, you can frame the tradeoff clearly enough for someone to decide
• Learning Agility: You get to real fluency in a new clinical domain fast, and you ask good questions while you're getting there
• Product Judgment: You can decide with incomplete information, say why you decided that way, and change your mind when the evidence moves
• Zero-to-One Product Launch
• Healthcare Domain Knowledge
• Revenue Cycle Management
• Denials
• Appeals
• Prior Authorization
• Utilization Review
• Medical Necessity
• Mid-Size Company Experience
• Enterprise Customer Experience
• Health System Customer Experience
• Healthcare Workflows
• Healthcare Terminology
• Health System IT
• Notion
• Prototyping
• Execution Bias
• Builder Mindset
• Ownership
• Cross-Functional Judgment
• Prioritization
• Learning Agility
• Product Judgment

Benefits

• Equity packages
• Robust medical/dental/vision insurance
• Flexible working hours
• Hybrid work options
• An inclusive environment that fosters creativity and innovation

Company

• Enterprise AI platform for health systems
• Palo Alto, California, USA
• https://www.qualifiedhealthai.com/
• Founded in 2023
• 51-200 employees

Qualifications

• Bachelor's degree
• 3+ years in product management, owning a product or a substantial product area end to end
• Demonstrated experience shipping a real product to a real customer: you owned something from early stage through to a customer using it in production and continuing to use it. School projects and internships do not count here
• Demonstrable experience building AI products. You have shipped something where the model was central to the product, and you can speak specifically to what you learned when it did not behave the way you expected
• Customer-facing experience developing requirements directly with customers, not through an intermediary
• Direct experience working with engineering and design teams — writing up requirements, managing a backlog, driving delivery against a sprint cadence
• Deep comfort with Jira as your primary working tool
• Excellent written and verbal communication; able to hold a thread across multiple customers and internal teams at once
• Zero-to-one experience — you have led the launch of a new product or major product area, or been close enough to one to know how it actually goes
• Healthcare domain knowledge, especially revenue cycle management, denials and appeals, prior authorization, or utilization review
• Experience at a mid-size company — scope broad enough to own something real, organization structured enough to ship reliably
• Exposure to enterprise or health system customers, and to the reality that every customer wants something slightly different
• Familiarity with healthcare workflows, terminology, or health system IT environments
• Genuine appetite to go deep on the utilization review and medical necessity domain
• Familiarity with Linear and Notions
• Execution Bias: You would rather close ten things than debate one. You default to making the list and working the list
• Builder Instincts: You reach for a prototype or a working example rather than a longer document. Deep vibe-coding skill is not required — our analysts handle much of the early build — but you think like someone who makes things
• Ownership: Given an ambiguous customer request, you drive it to a decision rather than waiting for one
• Cross-Functional Judgment: You can sit between a customer, a designer, and an engineer and make all three feel heard while still moving the work forward
• Prioritization Instinct: When two customers want incompatible things in the same sprint, you can frame the tradeoff clearly enough for someone to decide
• Learning Agility: You get to real fluency in a new clinical domain fast, and you ask good questions while you're getting there
• Product Judgment: You can decide with incomplete information, say why you decided that way, and change your mind when the evidence moves

Required skills

• AI Product Development, Backlog Management, Customer Requirements Elicitation, Denials and Appeals, Healthcare Workflows, Jira, Medical Necessity, Product Launch, Product Management, Product Requirements Writing, Revenue Cycle Management, Utilization Review

Preferred skills

• Familiarity with Linear and Notions

Experience

• 3+ years