Babylist
E-commerce
StaffProductManager,Recommendations&Discovery
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff Product Manager, Recommendations & Discovery at Babylist. Skills: ML Personalization, Recommendations, Discovery. Own personalization and discovery. Define ML personalization strategy”
What You'll Achieve.
Own impact, not just launches
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
5+ years product management experience, Experience in ML personalization at scale, Experience with recommendations, search, ranking, or personalization systems, Experience with ML lifecycle, Experience with customer data, Experience with business metrics
Nice to Have
Experience in a mature ML organization, Experience with retrieval, ranking, candidate generation, and evaluation, Experience with model design docs, Experience with rule-based systems, Experience with early-stage ML investment, Experience with AI-native workflows
What You'll Do.
Own personalization and discovery
Define ML personalization strategy
Set one-year horizon for recommendations
Partner with ML Engineering team
Define product requirements for ML systems
Shape company thinking on personalization
Hold conversations about retrieval
Understand ML failure modes
Articulate personalization maturity curve
Talk to customers directly
Bring evidence into decisions
Understand business impact of recommendations
Defend unit economics models
Communicate with clarity
Develop intuition for ML compounding
Make case for ML importance
Build belief for ML bets
Operate as AI-enabled builder
Raise bar for PM function
How You'll Work.
Team & Collaboration
Cross-functional collaboration; Partner with ML Engineering; Partner with finance; Partner with data
Communication Scope
Executive presentations
Process & Methodology
Roadmap development
Full Job Description
Who We Are Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step. Our Ways of Working Babylist is remote-first with team members across the U. S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up. 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'
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