Associate Product Lead

Qualified HealthPalo Alto, CA
14d$165,000 - $200,000Hybrid

About The Position

At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change. 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 Associate Product Lead will work directly with healthcare clients to discover, design, build, and deploy custom AI assistant solutions. This client-facing role requires traveling to health system sites to conduct discovery sessions, map workflows, and rapidly prototype AI-powered products using internal development platforms. The ideal candidate combines management consulting or product management experience with deep technical understanding of LLMs and a creative problem-solving mindset. This role reports to Product Leadership and is responsible for owning the full product lifecycle—from initial stakeholder conversations through deployment and evaluation.

Requirements

  • Bachelor's degree in Computer Science, Data Science, Engineering, Business Analytics, or related technical field – a Master's degree in a similar field is preferred
  • 2-4 years of management consulting experience at a top consulting company (McKinsey, BCG, Bain) or product management experience at a top technology company.
  • Healthcare industry experience required (health systems, healthcare technology, or consulting with healthcare clients)
  • Demonstrated proficiency with generative AI technologies and LLM-based applications
  • Experience with prompt engineering and AI application development
  • Track record of direct client engagement and relationship building
  • Comfort with ambiguity and ability to move quickly in a fast-paced startup environment
  • Able to work onsite in Palo Alto 3 days/week

Nice To Haves

  • Hands-on experience building custom AI applications or chatbots
  • Familiarity with healthcare workflows, clinical terminology, and health system IT environments
  • Experience with data analysis and visualization tools
  • Background in user research or design thinking methodologies

Responsibilities

  • Travel to client sites for extended engagements to conduct stakeholder interviews and uncover high-value use cases for AI assistants
  • Lead discovery sessions with health system employees across departments and levels, from frontline staff to executives
  • Map existing workflows and identify opportunities where AI assistants can drive measurable impact
  • Rapidly prototype solutions using internal AI development platforms (Assistant Builder, Abstractive, and similar tools) during on-site engagements
  • Build and configure AI assistants with appropriate knowledge bases, prompts, and workflows tailored to specific client needs
  • Create detailed product specifications documenting use cases, user requirements, data sources, and success metrics
  • Evaluate AI assistant outputs for accuracy, relevance, and alignment with client needs
  • Troubleshoot and iterate on products throughout the development process
  • Lead user testing sessions and incorporate feedback into product refinements
  • Coordinate rollout plans including user training, communications, and ongoing support
  • Partner with Product Leadership to identify new use case opportunities that can scale across client sites
  • Contribute to presentations for client check-ins and executive meetings
  • Conduct data analysis to support business cases and measure product impact
  • Document best practices and contribute to internal knowledge sharing

Benefits

  • competitive salaries with equity packages
  • robust medical/dental/vision insurance
  • flexible working hours
  • hybrid work options
  • inclusive environment that fosters creativity and innovation
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