Role Summary We are seeking an AI Product Manager to lead the development and commercialization of next-generation AI-powered IVF solutions.
Siga leyendo para descubrir lo que necesitará para tener éxito en este puesto, incluyendo habilidades, cualificaciones y experiencia.
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 xpzdshu 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)