Senior Staff Product Manager, AI Experience

Maven Clinic is the world's largest virtual clinic for women and families, dedicated to improving healthcare experiences. They are seeking a Senior Staff Product Manager to oversee the Member & AI Experience, focusing on conversational AI and the overall member engagement with the platform.

Responsibilities:

• The member experience surface: conversational AI, homepage, community, and the non-clinical touchpoints that define how members engage with Maven day-to-day
• The AI and conversational experience layer: how Maven guides members proactively, responds to their questions, and navigates them to the right care at the right moment
• The agentic product architecture for member-facing experiences: when Maven leads, when it responds, what it says, and how it escalates to a clinical team or provider
• An eval-driven development workflow: quality metrics for AI outputs, instrumented and iterated at high velocity
• Community — own the roadmap and drive engagement on an existing surface with real member activity
• A member-centric view of engagement data across the full experience — where members activate, where they drop, where AI is moving the needle and where it is not
• Close partnership with clinical product (Maternity, Fertility) to ensure the AI experience is coherent and effective across programs

Requirements:

• 7+ years in product, with direct experience building consumer-facing products and conversational AI or agentic systems in production
• Deep technical fluency: prompt engineering, eval frameworks, RAG, agent orchestration — well enough to spec and ship, not just review
• Strong consumer product instincts — you understand what makes a member experience feel coherent, trustworthy, and worth returning to
• Strong data skills: engagement instrumentation, AI quality metrics, communicating findings across clinical, engineering, and growth
• Clinical empathy — you understand the stakes of AI-generated health guidance and build with appropriate rigor
• 0-to-1 shipping at high velocity: fast experiments, fast learning, no design paralysis
• High ownership: several of these surfaces are not fully defined. You will define them and you will be accountable for the outcomes
• Experience owning community or social surfaces is a plus — you understand how to build for a population, not just an individual session