Platform Product Manager, AI/ML
Core
Define and own the product strategy and roadmap for AI/ML and statistical capabilities as core platform services leveraged across multiple product domains (e.g., CPV, Process Management, Validation, Quality). Establish a unified AI/ML platform vision, including reusable models, services, and APIs that can be embedded across the ValGenesis product suite.
Role type
Senior IC platform product manager (AI/ML & statistics)
Builds
Scalable, cloud-native, AI-powered platform capabilities for digital validation in life sciences
Domain
Life Sciences / Digital Validation / AI/ML
Deliverable
production ML models
Required skills
Statistical modeling (SPC, multivariate analysis, time-series), Machine learning (supervised/unsupervised, forecasting), Generative AI/NLP, Python (pandas, scikit-learn), R/SAS, Model validation & explainability (SHAP, LIME), MLOps concepts, Platform architecture design, API design, Agile product management
Preferred skills
PhD in Statistics/ML, Prior platform product management experience, Life sciences/pharma industry background, Published work in AI/ML
Technologies
Python, R, SAS, AWS, Azure, GCP, scikit-learn, statsmodels, SHAP, LIME
Responsibilities
Define platform-level capabilities for statistical modeling frameworks, machine learning services, and generative AI services; Establish standards for model selection, evaluation, feature engineering, and model lifecycle management; Partner with engineering on AI/ML platform architecture, data pipelines, and model deployment patterns; Serve as the central AI/ML expert bridging Product, Engineering, Data Science, and Go-To-Market teams; Monitor industry trends in applied AI/ML in regulated industries and contribute to thought leadership.
Seniority
Senior, hands-on IC