Lead and own a broad domain end-to-end: set multi-team architecture and roadmap, build platform and tooling, ship production systems, define AI standards and evals, partner with product/design/data, coach senior engineers, and solve high-impact technical and product problems.

Lead product for personalization and discovery across Babylist: own strategy, KPIs, and quality for recommendations and feed surfaces. Partner with ML engineering on retrieval, ranking, candidate generation, and evaluation. Drive one-year roadmap, commercial impact, AI-native prototyping, and mentor PMs while raising company-wide judgment on ML investment and implementation.

Design, build, and scale Snowflake ingestion pipelines and ML/LLM systems. Create agentic tooling to generate, test, and maintain pipelines. Collaborate with analysts, data scientists, and product teams to deliver reliable, high-performance data infrastructure and operationalize models for an AI-first e-commerce platform.