Staff Product Manager, Recommendations & Discovery

Requirements

• You bring:
• Strategic foresight. You can articulate the maturity curve of personalization and discovery at Babylist - where we are, what's next, and the effort behind each step. You hold a strong, opinionated view of the product and you know when to update your priors.
• Deep customer expertise. This is the irreplaceable PM contribution in a builder world, and it has to be a genuine strength. You talk to customers directly with regularity and bring concrete evidence (qualitative and quantitative) into every decision.
• Clarity of thought. You communicate with extreme clarity that moves conversations forward fast. You don't mistake collaboration for consensus.
• AI-native daily practice.

Additional Information

What the Role Is We're hiring a Staff Product Manager to own personalization and discovery across Babylist's consumer experience - the homepage feed, product recommendations, and the ML-powered systems that make the registry building journey feel effortless. Babylist was built on editorial recommendations - products chosen by humans with deep baby gear expertise - which are an important part of the foundation of the trust we've earned with millions of families. We now have the remit to build on our editorial strength; using one of the richest first-party datasets in parenting to layer personalized, ML-powered recommendations across every consumer decision point. We are early on the journey, have a real mandate, and need a product leader who has seen ML personalization done at scale to come define what great looks like for Babylist. If you're looking to step into a mature ML organization and optimize on the margins, this isn't the right role. If you've worked inside a strong ML personalization team, learned what good looks like, and want to bring that knowledge to a company early on in this journey - with the leverage to shape what we build and how we build it - read on. Registry building is the heart of the Babylist product - every parent builds a list of dozens of products, from stroller to swaddle, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). That makes registry building one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, and a user who genuinely wants help. We're only beginning to build on that opportunity. This role is the authority on recommendations and discovery at Babylist. You hold the quality bar, set the one-year horizon, and operate as the foremost expert on the space inside the company. You shape how the whole company thinks about personalization. You partner closely with our ML Engineering team - opinionated about model behavior, fluent in tradeoffs between business goals and user value, and able to hold real conversations about retrieval, ranking, candidate generation, and evaluation.

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