Senior Product Manager

MEDvidi is an AI-powered mental healthcare platform setting a new standard for safe, effective, and scalable psychiatric care in the United States. We combine licensed providers with proprietary AI tools to deliver consistent, outcomes-driven treatment for conditions like ADHD, anxiety, depression, and more. MEDvidi's technology automates charting, follow-ups, and treatment planning, freeing providers to focus on patient care while improving efficiency and clinical quality. About The AI Receptionist Team At MEDvidi, we're building AI-powered products that improve both the patient experience and the operational efficiency of healthcare delivery. One of our key AI initiatives is AI Receptionist
- a conversational AI product that serves as the first point of contact for patients across chat and voice channels. Today, AI Receptionist helps patients schedule and reschedule appointments, answer billing and payment questions, provide prescription-related information, and navigate their care journey. Rather than relying on scripted responses, it works with real backend systems
- including appointments, payments, prescriptions, and patient records
- to deliver accurate, context-aware assistance. As the product evolves, we're expanding into more advanced AI capabilities, including provider visit preparation, intelligent patient guidance, and increasingly autonomous support experiences. We're looking for a Senior Product Manager to own one of our strategic AI product areas end-to-end. You’ll lead a small, cross-functional product team and be responsible for the strategy, roadmap, execution, and business outcomes of your domain. Working closely with Engineering, Clinical, and Operations teams, you'll shape how conversational AI is integrated into real healthcare workflows while continuously improving the patient experience. This is a hands-on senior role with real ownership. You'll be responsible not only for deciding what to build next, but also for understanding how AI behaves in production, validating hypotheses, measuring impact, and continuously improving the product based on real user data. Why this role
* Own one of MEDvidi's strategic AI product areas with clear business impact.
* Build production AI agents used by thousands of real patients every day.
* Work on meaningful AI applications where quality, safety, and reliability genuinely matter.
* Collaborate with experienced Product, Engineering, Clinical, and Operations teams in a fast-moving environment.
* Join a modern AI organization where experimentation, ownership, and data drive product decisions.
* Grow alongside one of the company's fastest-scaling AI product areas.

Responsibilities:
* Own the product strategy, roadmap, and business outcomes for your AI product area across multiple communication channels.
* Translate patient and business needs into clear product priorities and deliver high-impact solutions.
* Continuously improve AI product quality through experimentation, evaluation, and iterative product development.
* Partner closely with AI Engineers to shape not only what AI should do, but how it behaves in production.
* Define product success metrics, monitor performance, and connect product improvements to measurable business outcomes.
* Drive product discovery through hypothesis validation, data analysis, and user feedback.
* Collaborate closely with Product, Engineering, Clinical, and Operations teams to deliver end-to-end solutions.
* Ensure patient safety, privacy, and quality remain central to product decisions in a regulated healthcare environment.
* Clearly communicate priorities, trade-offs, progress, and risks across stakeholders.

Requirements:
* 5+ years of experience in Product Management with genuine end-to-end ownership, including 2+ years as an AI Product Manager delivering AI/ML-powered products to production.
* Hands-on experience managing AI Agents as customer-facing products (conversational, voice, or LLM-powered agents), including product discovery, development, production launch, continuous improvement, and scaling.
* Proven experience driving the evolution of AI Agents after launch, improving agent performance, reliability, user experience, and business outcomes based on real-world usage data and user feedback.
* Strong understanding of how modern AI Agent systems work, including LLM orchestration, prompting, evaluation frameworks, guardrails, failure modes, and continuous quality improvement.
* Experience working in an experimentation-driven product environment: forming hypotheses, running experiments, measuring outcomes, and making product decisions based on evidence.
* Strong analytical skills with experience defining product KPIs, analyzing user behavior and product performance, and connecting product metrics to measurable business outcomes.
* Structured problem-solving skills and the ability to navigate ambiguity, identify root causes, and make evidence-based product decisions.
* Experience partnering closely with Engin