Product Leader

Qualified Health PBC•Palo Alto, CA

2d•Hybrid

About The Position

The Product Leader owns and drives strategic relationships with senior healthcare executives while leading the discovery, design, development, and deployment of AI-powered assistants and workflow automation solutions powered by LLM technologies. This client-facing role requires traveling to health system sites to conduct discovery sessions, deeply understand complex clinical and operational workflows, and translate those insights into validated AI product opportunities. The Product Leader is responsible for the full product lifecycle—from initial stakeholder alignment and workflow mapping through rapid prototyping, deployment, and evaluation. They translate strategic alignment with clients into effective, scalable tools that transform business operations, ensuring solutions are grounded in real-world healthcare environments. The Product Leader learns and internalizes the client’s needs; exploring workflows, prototyping solutions, and de-risking ideas prior to engineering investment. They ensure the right problems are solved to achieve measurable operational and clinical impact. The ideal candidate combines management consulting or product leadership experience with a strong technical understanding of LLM-powered applications, a creative problem-solving mindset, and the executive presence required to navigate complex C-suite conversations.

Requirements

Bachelor's degree in Computer Science, Data Science, Engineering, Business Analytics, or related technical field
3-8 years of experience in management consulting, client engagement, and/or product management
Healthcare industry experience (health systems, healthcare technology, or consulting with healthcare clients)

Nice To Haves

MBA from a top-tier business school
Experience building and scaling AI products from 0 to 1
Deep expertise with generative AI technologies
Familiarity with healthcare workflows, clinical terminology, EHR systems (Epic, Cerner), and health system AI environments
Technical proficiency with Python, SQL, or data analysis tools
Experience with design thinking, user research methodologies, and agile product development
Track record of driving measurable business outcomes (cost savings, efficiency gains, revenue growth)

Responsibilities

Collaborate with health system leadership to identify high-value AI use cases
Design AI solutions by interviewing end users, understanding user requirements, mapping workflows, and defining data integration requirements.
Create engineering-ready artifacts to communicate product specifications
Optimize products to improve value and engagement metrics
Leverage internally built no-code / low-code AI tools to rapidly prototype and deploy AI solutions
Validate prototypes with frontline users to ensure alignment with real-world workflows and measurable operational impact
Partner closely with Technical Product Managers and Engineering teams for product development
Own executive product relationships with VP- and SVP-level stakeholders at major health systems
Present product roadmaps, business cases, and success metrics to C-suite executives and steering committees
Navigate complex healthcare organizational dynamics and build consensus across multiple stakeholder groups
Serve as a trusted advisor to clients on AI strategy, implementation, and long-term value realization
Evaluate AI assistant outputs for accuracy, relevance, and alignment with client needs
Troubleshoot and iterate on products throughout the development lifecycle
Lead user testing sessions and incorporate feedback into product refinements
Coordinate rollout plans including user training, communications, and ongoing support
Ensure successful deployment and adoption of AI solutions across multiple clients
Partner with Product Leadership to integrate the product into the broader platform product strategy
Contribute to the go-to-market strategy, pricing models, product positioning, and product marketing
Create case studies, ROI analyses, and thought leadership content
Build products to be scalable and follow a standardized template for deployment across new and existing clients
Analyze product performance data and client feedback to inform product roadmap decisions
Conduct data analysis to support business cases and measure product impact
Document best practices and contribute to internal knowledge sharing