Lead Product Manager (AI Platform Products)

Join our team as a Lead Product Manager for AI Platform Products. In this hands-on role, you will define, build, and ship AI-enabled platform products using healthcare-grade data services and APIs. You will work closely with engineering, AI, clinical, and product stakeholders to define requirements, write user stories, prioritize the roadmap, and bring new capabilities from concept to release. Your success will be measured by the clarity and credibility of the product plan, well-defined tools and workflows, actionable product requirements, cross-functional alignment, and faster delivery of AI-enabled product capabilities.

• Definir, construir y lanzar productos de plataforma habilitados para IA basados en servicios y API de datos de atención médica.
• Colaborar con ingeniería, IA, clínica y partes interesadas del producto para definir requisitos, escribir historias de usuario y priorizar decisiones de la hoja de ruta.
• Desarrollar una comprensión sólida de los datos subyacentes, los comportamientos del servicio y la lógica de flujo de trabajo que impulsan el producto.
• This role is ideal for a product leader who can turn complex underlying services into clear product requirements, workflows, and usable capabilities
• This role is best suited for someone who has built API-first or technically complex products, is comfortable working closely with engineering on detailed product decisions, and can move fluidly between customer problems, system behavior, and delivery execution
• Healthcare experience is strongly preferred. Experience with MCP, tool orchestration, or agentic systems is a plus
• Experience building or managing API-first products, workflow products, developer platforms, or other technically complex systems
• 5+ years of product management experience, with meaningful ownership of technical, platform, or API-driven products
• Demonstrated ability to work closely with engineering on technical requirements, integrations, schemas, delivery tradeoffs, and release execution
• Strong written and verbal communication skills, with the ability to work effectively across product, engineering, AI, clinical, and business stakeholders
• Ability to understand structured data, service behavior, and API-driven workflows well enough to make effective product decisions
• Proven experience writing product requirements, user stories, and acceptance criteria for engineering teams
• Strong product judgment in ambiguous environments and the ability to turn loosely defined problems into clear next steps
• Experience defining product success metrics and operating with a test-and-learn mindset
• Experience with AI-enabled products, including products that rely on LLMs, decisioning systems, or structured tool invocation
• Ability to translate complex technical systems into clear product requirements and business value
• Experience in healthcare, life sciences, clinical workflow, pharmacy, medication data, or regulated data products
• Familiarity with clinical decision support, drug content, medication workflow products, or healthcare interoperability
• Experience working with agentic systems, orchestration layers, or Model Context Protocol (MCP)
• Experience partnering with domain experts in regulated or high-trust environments
• Background working with evaluation frameworks for AI systems, including tool-call accuracy, workflow completion, and robustness testing
• Experience designing products that must balance usability, safety, auditability, and trust