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Babylist is hiring a Staff Product Manager to own personalization and discovery across its consumer experience, including the homepage feed, product recommendations, and ML-powered systems that support registry building. The company was built on editorial recommendations from human experts with deep baby gear knowledge, and now seeks to layer personalized, ML-powered recommendations across every consumer decision point using one of the richest first-party datasets in parenting.
Registry building is the core of Babylist's product—parents build lists of dozens of items with real stakes, as friends and family members purchase from these registries for actual babies. This creates a compelling personalization problem: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal from millions of completed registries, and users who genuinely want help.
As Staff PM, you will be the authority on recommendations and discovery at Babylist. You hold the quality bar, set the one-year horizon, and operate as the foremost expert in this space. You partner closely with the ML Engineering team—opinionated about model behavior, fluent in tradeoffs between business goals and user value, and able to discuss retrieval, ranking, candidate generation, and evaluation at a technical level.
You are a demonstrated product leader with meaningful experience inside ML-powered consumer products. You have owned a recommendation, personalization, or discovery surface end-to-end at scale and bring real B2C ML product depth. You understand candidate generation vs. ranking, online vs. offline evaluation, cold start, exploration vs. exploitation, novelty effects, and tradeoffs between business objectives and user-perceived relevance. You have real technical fluency with ML systems—you don't write production code but understand the full ML lifecycle: data pipelines, feature engineering, model training, deployment, monitoring, and iteration. You're comfortable reading model design docs and pushing back on architectural choices when product reality demands it.
You bring a builder's instinct for early-stage ML, knowing when a rule beats a model, when a model needs a guardrail, and when a hard-coded baseline is the right first step. You have strategic foresight to articulate the maturity curve of personalization at Babylist and hold strong, opinionated views on product direction. Deep customer expertise is essential—you talk to customers directly with regularity and bring concrete evidence into every decision. You have commercial ownership, understanding how recommendations drive registry completion, GMV, ad revenue, and retention. You communicate with extreme clarity and actively use LLMs and AI coding tools to prototype, analyze, and move faster.
