PbRole Summary /b /ppWe are seeking an bAI Product Manager /b to lead the development and commercialization of next-generation AI-powered IVF solutions. /ppThis role is critical in transforming laboratory data into bactionable clinical intelligence /b, enabling fertility clinics to improve outcomes, reduce variability, and scale operations through AI. /ppYou 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. /ppbr/ppbKey Responsibilities /b /ppb1. AI Product Strategy Portfolio Ownership /b /pulliDefine and drive the global product strategy for AI-enabled IVF solutions /liliBuild a bscalable AI roadmap /b integrating: /liliEmbryo assessment algorithms /liliTime-lapse imaging data /liliLaboratory workflow analytics /liliIdentify new AI opportunities aligned with clinical impact and revenue growth /li /ulpb2. AI Product Development /b /pulliLead full product lifecycle: /liliConcept → Data strategy → Model development → Clinical validation → Launch → Iteration /liliTranslate clinical and commercial needs into bAI model requirements and product features /b /liliWork closely with data science teams to: /liliDefine training datasets and annotation standards /liliSet model performance benchmarks (AUC, sensitivity, specificity) /liliEnsure continuous model improvement through real-world data /li /ulpbr/ppb3. Clinical Integration Validation /b /pulliPartner with embryologists and IVF clinics to ensure real-world usability /liliDesign and support clinical validation studies /liliTranslate AI outputs into bclinically interpretable insights /b /liliEnsure products support decision-making without increasing clinical risk /li /ulpb4. Data Platform Strategy /b /pulliDefine and manage the bdata ecosystem /b, including: /liliTime-lapse imaging data /liliPatient and cycle data /liliLab operational data /liliDevelop feedback loops to improve AI models using global clinical datasets /liliEnsure data integrity, traceability, and scalability /li /ulpb5. Regulatory Compliance Alignment /b /pulliWork with QARA teams to support documentation for AI validation and regulatory submissions /liliEnsure AI transparency and explainability /li /ulpb6. Cross-Functional Project Management /b /pulliAct as the bridge between: /liliAI / Data Science teams /liliClinical Application teams /liliRegulatory Quality /liliCommercial Marketing /liliDrive alignment across global teams (EMEA, APAC, US) /liliLead agile development cycles and product prioritization /li /ulpb7. Commercialization Market Adoption /b /pulliDefine product positioning, pricing strategy, and value proposition /liliSupport go-to-market strategy and distributor enablement /liliWork with marketing on scientific messaging and KOL engagement /liliMonitor adoption metrics and continuously optimize product-market fit /li /ulpbr/ppbRequirements /b /pulliBachelor’s or Master’s degree in Biomedical Engineering, Computer Science, Data Science or Life Sciences. Advanced degree (MSc / PhD) preferred /lili6+ years of product management experience in Medical devices, Digital health, AI-driven healthcare products /liliProven experience launching AI or data-driven products /liliIVF / reproductive medicine experience is highly preferred /liliStrong understanding of Machine learning fundamentals, Data pipelines and model validation, AI performance metrics and limitations /liliAbility to collaborate effectively with engineering and data science teams /liliFamiliar with IVF laboratory workflows, Embryology or reproductive medicine, Time-lapse imaging systems /liliStrategic thinking with strong execution capability /liliAbility to operate in a complex, global environment /liliStrong stakeholder management across technical and non-technical teams /liliCustomer-centric mindset (clinicians, lab managers, distributors) /liliMandarin Chinese speaking preferred /li /ul