Product Manager

This role is for one of Weekday’s clients

Min Experience: 4+ years Location: Bangalore JobType: full-time

We are looking for an experienced and user-focused Product Manager to build and scale AI-powered healthcare products that help people navigate complex health information with greater clarity, confidence, and trust. The product serves as a digital health companion, enabling users to understand symptoms, laboratory reports, prescriptions, medications, and health-related concerns between doctor visits. The broader vision is to build intelligent clinical AI systems with advanced reasoning, memory, safety, and workflow capabilities that can support increasingly complex healthcare tasks. This is a high-ownership role for a product leader who can work from first principles, navigate ambiguity, and translate complex clinical and technical concepts into intuitive, reliable, and empathetic user experiences. You will lead product initiatives end-to-end, collaborating closely with founders, engineers, designers, AI specialists, and clinical teams to build AI-native healthcare experiences that are safe, useful, and trusted. Requirements Key Responsibilities 1. Product Strategy and Ownership - Own product areas end-to-end, from problem discovery and user research to product strategy, requirements, execution, launch, and continuous iteration. - Define product vision, roadmaps, user journeys, success metrics, and launch strategies aligned with customer needs and business objectives. - Lead 0-to-1 product development initiatives, turning ambiguous problem statements into validated solutions and production-ready experiences. - Partner with founders and cross-functional teams to prioritise opportunities and establish a strong product direction. - Drive product decisions using first-principles thinking, data, user feedback, and sound product judgment. 2. AI-Powered Healthcare Experiences - Build and improve patient-facing experiences for symptom assessment, laboratory report interpretation, prescriptions, medication guidance, health history, care navigation, and follow-ups. - Design AI-native interaction patterns, including conversational interfaces, structured information cards, contextual memory, explainability, uncertainty communication, and escalation workflows. - Translate complex clinical reasoning into clear, actionable, and easy-to-understand experiences without compromising accuracy or nuance. - Define how the product communicates potential causes, risk levels, supporting evidence, safety warnings, and recommended next steps. - Develop personalised and longitudinal health experiences that help users maintain continuity across healthcare interactions. 3. Clinical Safety, Trust, and Privacy - Design product experiences that communicate the capabilities and limitations of AI clearly and responsibly. - Build workflows for user consent, privacy controls, data management, emergency handling, escalation, and human clinical oversight. - Ensure the product handles uncertainty appropriately and guides users towards professional care when necessary. - Collaborate with clinical and technical teams to establish appropriate safeguards, quality standards, and escalation mechanisms. - Incorporate safety, reliability, accessibility, and user trust into product requirements and release decisions. 4. Human Oversight and Clinical Workflows - Design workflows that enable doctors, clinical reviewers, and internal teams to inspect cases, review escalations, provide feedback, and audit AI behaviour. - Identify opportunities to improve clinical workflows through AI-enabled automation and human-in-the-loop processes. - Work with clinical stakeholders to understand operational constraints and translate them into practical product solutions. - Establish feedback loops that improve product quality, clinical relevance, and the reliability of AI-generated experiences. 5. Product Execution and Continuous Improvement - Write clear product requirements, define info