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