Qualified

Product Manager

Qualified

full-time

Posted on:

Location Type: Hybrid

Location: Palo Alto • California • United States

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Salary

💰 $165,000 - $200,000 per year

About the role

  • The Product Manager will work directly with healthcare clients to discover, design, build, and deploy custom AI assistant solutions.
  • 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 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.

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.
Benefits
  • Competitive startup salary and equity packages.
  • Health, dental, and vision insurance.
  • Flexible working hours and hybrid work options.
  • An opportunity to be at the forefront of AI in healthcare, making substantial impacts on patient care and outcomes.
  • A vibrant and inclusive work environment that fosters creativity and innovation.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI assistant solutionsgenerative AI technologiesLLM-based applicationsprompt engineeringAI application developmentproduct specificationsuser requirementsdata sourcessuccess metricstroubleshooting
Soft Skills
stakeholder interviewsrelationship buildingcomfort with ambiguityability to move quicklyleadershipuser testingfeedback incorporationcommunicationorganizational skillsclient engagement
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Data ScienceBachelor's degree in EngineeringBachelor's degree in Business AnalyticsMaster's degree in related field