AI-Native Product Manager

Memorial Healthcare Group values your trust in the field of medical services, offering the expertise and know-how of its specialized healthcare professionals, highly engaged staff, patient-oriented service, quality policy, diagnosis-treatment units equipped with cutting-edge technology, modern settings, and comfortable patient rooms. Established in 2000, Memorial Healthcare Group has been providing healthcare services in Istanbul, Ankara, Antalya, Bodrum, Kayseri, and Diyarbakır with over 8,000 employees and has also expanded internationally with its hospital in Bucharest, Romania. As part of our digital transformation journey, we are looking for an AI-Native Product Manager to own a product area end to end and shape how AI-powered products are defined, built, and measured across Memorial Healthcare Group. This is not simply a Product Manager who builds AI features. We are looking for someone who actively uses AI and agentic ways of working throughout the product lifecycle — from research and discovery to specifications, prioritization, experimentation, and measurement. Working closely with clinicians, technology, data, and business teams, you will take products from problem definition to real-world adoption in hospitals while helping establish the AI-native product practices of our organization. Qualifications Bachelor's degree in Engineering, Computer Science, or a related field, At least 4 years of product management experience, including ownership of at least one product from problem definition through launch and real-world use, Hands-on experience using agentic development environments such as Claude Code, Cursor, Codex, or similar tools, with examples of prototypes, internal tools, or agent workflows developed for your own work, Demonstrated ability to write clear and structured product specifications that can be effectively executed by engineering teams and AI agents, Working knowledge of Large Language Models (LLMs), AI agents, and related concepts, with the ability to shape AI-powered product behavior together with engineering teams, Ability to understand the limitations of AI-generated analysis and remain accountable for the quality of resulting decisions, Technical fluency to understand API contracts and independently explore and interpret product data, Experience with product discovery and experimentation, including hypothesis definition, success and kill criteria, A/B testing or controlled rollouts, and metric definition, Proven experience in customer-centric product development, agile methodologies, and outcome-driven roadmap management, Experience with quantitative prioritization frameworks such as RICE, WSJF, or equivalent approaches, Awareness of data privacy, clinical safety, and responsible AI considerations in regulated environments, including KVKK and GDPR, Preferably, experience launching AI-powered features used by real users, Preferably, experience building internal tooling or automation using technologies such as MCP servers, workflow orchestration, or scripting, Strong analytical and problem-solving skills, with the ability to translate complex business and user needs into effective product solutions, Strong written and verbal communication skills, with the ability to align technical, clinical, and business stakeholders around shared goals, Proficiency in English, with the ability to read and understand technical documentation. What You'll Be Responsible For Set the product vision, analyze market and user needs, make strategic product decisions, and align stakeholders around shared goals, Own a product area end to end, from problem definition through delivery, adoption, and measurable outcomes, Lead structured product discovery with AI agents, clinicians, users, and data by defining hypotheses, success and kill criteria, gathering evidence, and documenting decisions, Create clear, version-controlled product specifications that enable efficient execution by engineering teams and AI agents, Prioritize initiatives against Memorial Healthcare Group's strategic goals and transparently communicate the rationale behind roadmap decisions, Define how AI behaves within the product, including where models act, where human judgment is required, how uncertainty and failures are handled, and which evaluation criteria determine whether an AI capability is ready for release, Ensure clinician- and patient-facing features are co-designed with relevant clinical stakeholders and validated in real healthcare workflows before scaling, Define and monitor product metrics, including adoption, usage, business impact, and AI output quality, and continuously improve or remove features based on evidence, Build and improve AI-native workflows, tools, checks, and automations that enhance the effectiveness of the product organization, Collaborate with technology, clinical, data, and business teams to identify high-impact AI use cases and deliver measurable business and patient outcomes in line with data privacy and clinical governance requirements.