Product Lead

Qualified Health•Palo Alto, CA

6d•$200,000 - $260,000•Hybrid

About The Position

At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for a unified data foundation, healthcare-specific agent creation, real-time algorithm monitoring, and end-to-end AI governance, working alongside leading health systems to drive real impact. This is more than just a job. It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you're ambitious, innovative, and ready to move fast, we'd love to have you on board. Join us in shaping the future of healthcare. Job Summary The Product Lead owns and drives strategic relationships with senior healthcare executives while leading the discovery and development of high-impact AI solutions. They are responsible for translating strategic alignment with the client into effective and useful tools to transform the client’s business. This senior client-facing role requires traveling to health system sites to lead high-stakes discovery sessions, deeply understand complex clinical and operational workflows, and translate those insights into validated AI product opportunities. Product Leads work closely with customers to explore workflows, prototype solutions, and de-risk ideas before engineering investment, ensuring that the right problems are solved and that solutions are grounded in real-world healthcare operations. From early customer engagement through deployment and scale, they help architect AI assistants and workflow automation solutions that deliver measurable operational and clinical impact. In parallel, the Product Lead evolves into managing a team of Associate Product Leads, guiding them through discovery, solution design, and client engagement while establishing high standards for product rigor and delivery. The ideal candidate combines senior management consulting or product leadership experience with a strong technical understanding of LLM-powered applications, proven team leadership capabilities, and the executive presence required to navigate complex C-suite conversations. This role reports to Product Leadership and is accountable for both client success and the development of scalable product solutions.

Requirements

Bachelor's degree in Computer Science, Data Science, Engineering, Business Analytics, or related technical field
4-8 years of management consulting experience at a top consulting firm (McKinsey, BCG, Bain) OR 4-8 years of product management experience at a top technology company
Healthcare industry experience required (health systems, healthcare technology, or consulting with healthcare clients)
Proven track record of managing senior client relationships and presenting to executive audiences
Deep expertise with generative AI technologies, LLM-based applications, and prompt engineering
Experience collaborating with engineering teams on technical product specifications
Demonstrated leadership experience, including managing or mentoring junior team members
Able to work onsite in Palo Alto 3 days/week

Nice To Haves

MBA from a top-tier business school
Experience building and scaling AI products from 0 to 1
Familiarity with healthcare workflows, clinical terminology, EHR systems (Epic, Cerner), and health system IT environments
Background in healthcare revenue cycle management, clinical operations, or quality improvement
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

Lead deep workflow discovery with clinical, operational, and IT stakeholders to understand current-state processes, pain points, and sources of inefficiency
Identify high-value opportunities across core value pools such as revenue cycle, care gap identification and closure, hospital throughput, and administrative operations
Translate ambiguous customer problems into structured product opportunities through opportunity assessments, success metrics, and acceptance criteria
Rapidly prototype AI assistants, abstractors, and workflow solutions using internal builder tools and standardized design patterns to test feasibility and refine requirements
Validate prototypes with frontline users to ensure solutions align with real-world workflows and drive measurable operational impact
De-risk product development by testing data availability, workflow fit, and model performance prior to engineering investment
Produce structured discovery artifacts, including workflow analysis, solution drafts, data mappings, interface concepts, and prototype testing logs, to enable engineering-ready product specifications
Drive gated go/no-go decisions on whether opportunities should advance to engineering build, based on customer validation, technical feasibility, and expected ROI
Partner closely with Technical Product Managers and Engineering to transition validated prototypes into scalable platform products
Own executive product relationships with VP and SVP-level stakeholders at major health systems
Travel to client sites for extended strategic engagements, leading discovery sessions with senior leadership across departments
Identify and qualify high-impact, enterprise-scale use cases for AI assistants that drive measurable ROI
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 the trusted advisor for clients on AI strategy and implementation
Evolve into managing and developing a team of Associate Product Leads, providing coaching and career development
Delegate client engagements and projects strategically based on team strengths and development goals
Establish team processes, best practices, and quality standards for product delivery
Conduct regular team syncs, project reviews, and performance evaluations
Foster a culture of innovation, client excellence, and continuous learning
Partner with Product Leadership to identify use case patterns that can scale across the client portfolio
Contribute to go-to-market strategy, pricing models, product positioning, and product marketing
Lead the creation of case studies, ROI analyses, and thought leadership content
Drive standardization and templatization of successful AI assistant solutions for faster deployment
Analyze product performance data and client feedback to inform product roadmap decisions
Represent Qualified Health at industry conferences and client-facing events