Key skills
Conversational AILarge Language Models (LLMs)GeminiVertex AIRetrieval-Augmented Generation (RAG) architecturesAgile product developmentPrompt engineeringContext managementSystem instruction designJiraConfluenceHealthcare digital productsStakeholder managementAIMLLLMRAGAgileStakeholder ManagementProduct ManagementCommunication
About this role
Da Vinci Software is seeking a Senior Product Manager to support a patient-facing digital product built on a conversational AI/chat platform. This role will lead product strategy and execution for an MVP launching in June, focusing on expanding use cases through Q3/Q4.
Responsibilities:
- Define and execute product strategy and roadmap for a conversational AI platform supporting patient-facing use cases
- Lead product delivery for an MVP launch and iterative quarterly enhancements
- Partner cross-functionally with engineering, design, and clinical/business stakeholders
- Translate business objectives into clear product requirements, user stories, and acceptance criteria
- Drive Agile product development processes, including backlog management and sprint planning
- Collaborate with engineering teams leveraging Gemini (via Vertex AI) and RAG pipelines to power AI-driven experiences
- Ensure alignment between patient experience, business value, and technical feasibility
- Define and track KPIs and product performance metrics to guide continuous improvement
- Act as the primary liaison between technical teams and non-technical stakeholders
- Support scaling the platform across additional patient use cases and domains
Requirements:
- Bachelors and 6 or more years experience in a professional business environment, product development or product management or Bachelors and 4 years working as a Product Manager with responsibility for one or more moderate to difficult products or Masters degree and 2 or more years experience in product management or development
- Experience delivering digital or platform-based products in an Agile environment
- Familiarity with conversational AI, chat platforms, or digital assistant products
- Strong understanding of LLMs and AI-driven product value drivers
- Experience collaborating closely with engineering teams on AI/ML-based solutions
- Excellent communication, stakeholder management, and problem-solving skills
- Hands-on familiarity with prompt engineering, context management, and system instruction design
- Experience with Gemini, Vertex AI, or similar LLM platforms
- Knowledge of retrieval-augmented generation (RAG) concepts and architectures
- Experience in healthcare or patient-facing digital products
- Familiarity with tools such as Jira, Confluence, or similar
- MBA or advanced degree