Staff Product Manager, Recommendations & Discovery
Core
Own personalization and discovery across Babylist's consumer experience, including the homepage feed, product recommendations, and ML-powered systems for registry building.
Role type
Staff Product Manager (ML Personalization & Discovery)
Builds
Personalized, ML-powered recommendations and discovery surfaces for consumer e-commerce
Domain
E-commerce / Parenting / Machine Learning
Deliverable
production ML models
Required skills
B2C ML product depth, technical fluency with ML systems, strategic foresight, deep customer expertise, commercial ownership, AI-native daily practice, adaptability to change
Preferred skills
Background in e-commerce or marketplaces, experience building ML personalization from scratch
Technologies
LLMs, AI coding tools, candidate generation, ranking, retrieval, online/offline evaluation
Responsibilities
Own recommendations and discovery end-to-end, set the one-year horizon for product personalization, act as a peer to the ML Engineering Manager, set the quality bar for ML-powered experiences, raise the company's judgment about ML investment, operate as an AI-enabled builder, mentor and develop PMs
Seniority
Staff, hands-on IC with mentorship responsibilities
