AI Product Manager

Role Summary We are seeking an

AI Product Manager

to lead the development and commercialization of next-generation AI-powered IVF solutions. This role is critical in transforming laboratory data into

actionable clinical intelligence , enabling fertility clinics to improve outcomes, reduce variability, and scale operations through AI. You will own the full lifecycle of AI-driven products (e.g., embryo ranking, lab workflow intelligence, predictive analytics), working across clinical, engineering, and commercial teams globally.

Key Responsibilities 1. AI Product Strategy & Portfolio Ownership Define and drive the global product strategy for AI-enabled IVF solutions Build a

scalable AI roadmap

integrating: Embryo assessment algorithms Time-lapse imaging data Laboratory workflow analytics Identify new AI opportunities aligned with clinical impact and revenue growth 2. AI Product Development Lead full product lifecycle: Concept → Data strategy → Model development → Clinical validation → Launch → Iteration Translate clinical and commercial needs into

AI model requirements and product features Work closely with data science teams to: Define training datasets and annotation standards Set model performance benchmarks (AUC, sensitivity, specificity) Ensure continuous model improvement through real-world data

3. Clinical Integration & Validation Partner with embryologists and IVF clinics to ensure real-world usability Design and support clinical validation studies Translate AI outputs into

clinically interpretable insights Ensure products support decision-making without increasing clinical risk 4. Data & Platform Strategy Define and manage the

data ecosystem , including: Time-lapse imaging data Patient and cycle data Lab operational data Develop feedback loops to improve AI models using global clinical datasets Ensure data integrity, traceability, and scalability 5. Regulatory & Compliance Alignment Work with QARA teams to support documentation for AI validation and regulatory submissions Ensure AI transparency and explainability 6. Cross-Functional Project Management Act as the bridge between: AI / Data Science teams Clinical & Application teams Regulatory & Quality Commercial & Marketing Drive alignment across global teams (EMEA, APAC, US) Lead agile development cycles and product prioritization 7. Commercialization & Market Adoption Define product positioning, pricing strategy, and value proposition Support go-to-market strategy and distributor enablement Work with marketing on scientific messaging and KOL engagement Monitor adoption metrics and continuously optimize product-market fit

Requirements Bachelor’s or Master’s degree in Biomedical Engineering, Computer Science, Data Science or Life Sciences. Advanced degree (MSc / PhD) preferred 6+ years of product management experience in Medical devices, Digital health, AI-driven healthcare products Proven experience launching AI or data-driven products IVF / reproductive medicine experience is highly preferred Strong understanding of Machine learning fundamentals, Data pipelines and model validation, AI performance metrics and limitations Ability to collaborate effectively with engineering and data science teams Familiar with IVF laboratory workflows, Embryology or reproductive medicine, Time-lapse imaging systems Strategic thinking with strong execution capability Ability to operate in a complex, global environment Strong stakeholder management across technical and non-technical teams Customer-centric mindset (clinicians, lab managers, distributors) Mandarin Chinese speaking preferred