Senior Staff Product Manager, AI Experience

About the role

Maven is hiring a Senior Staff PM to own Member & AI Experience — the surface that defines how members experience Maven from the moment they arrive. Conversational AI, homepage, community, proactive guidance, and the cross-cutting AI layer that clinical programs run on. This is the front door to Maven and the connective tissue across every program.

The right person is technically deep on LLM and agentic systems, has strong product instincts on consumer experience, and can build fast. You will work in close partnership with the clinical product team — Maternity, Fertility — to ensure the AI experience serves each program effectively. You will report directly to the SVP of Product.

Maven's culture is changing. We are resetting around speed, data-driven iteration, and deep member obsession. This hire is expected to lead that reset on the member experience surface.

What you will own

• 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

What we are looking for

• 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
• Experience owning community or social surfaces is a plus — you understand how to build for a population, not just an individual session
• 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 ac