SR PRODUCT MGR

Duties: Responsible for the strategic direction, planning, execution, monitoring, and delivery of profitable/high value products and services as well as ensuring that the product supports ***'s overall strategy and goals. Responsible for the entire product lifecycle beginning with the product strategy, and moving through product planning, execution and monitoring to ensure revenue growth, profit/loss, value proposition, and customer satisfaction goals are met. Manage moderate to difficult products/services where there may be significant investment in infrastructure made or planned. Lead cross-functional teams that include multidisciplinary staff responsible for development and implementation of those complex products and services. Identification and leverage of market relevant product differentiation. Responsibilities involve qualitative and quantitative research analysis and documentation, business and functional planning, management of product requirements and scope. Proactively plans contingencies to lessen the impact of issues and risks, collaborate with internal or external subject matter experts to recommend solutions, demonstrate ability to effectively facilitate negotiation and manage conflict among key stakeholders and project team members at department or enterprise level. We are 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, with a roadmap of expanding use cases through Q3/Q4. The ideal candidate will bring experience with large language models (LLMs) and conversational AI tools (e.g., Gemini, Vertex AI, RAG-based architectures) and possess a strong ability to translate business needs into scalable, patient-centered digital experiences. Key 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. Required Qualifications Bachelor’s degree in Business, Computer Science, Engineering, or related field. 5–8 years of experience in product management, including senior-level ownership. 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. Preferred Qualifications 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 (preferred). Key Competencies Strategic thinking and product vision. Strong collaboration and influence across cross-functional teams. Customer-focused mindset (patient-centric design). Data-driven decision making. Ability to operate in a fast-paced, evolving product environment. Additional Notes This is a contract role with a 12-month or longer expected duration. Product is currently in MVP phase with near-term launch and rapid scaling planned. Role requires close partnership with engineering on AI/LLM-driven capabilities, with an emphasis on understanding (not owning) implementation details.