Related skills
model deployment data pipelines ml llms personalization📋 Description
- Own recommendations and discovery end-to-end for Babylist's consumer experience.
- Lead ML-powered personalization across homepage, feed, and ranking.
- Shape personalization using one of the richest first-party datasets.
- Partner with ML Engineering to align product and technical direction.
- Set the one-year horizon for personalization and roadmap.
- Be the authority on recommendations and discovery within the company.
🎯 Requirements
- Real B2C ML product depth; shipped recommendations, search, ranking.
- Fluency with the ML lifecycle: data pipelines, features, training, deployment, monitoring.
- Builder's instinct for early-stage ML; focus bets, avoid breadth.
- Strategic foresight; articulate personalization maturity at Babylist.
- Deep customer expertise; talk to customers with evidence.
- Commercial ownership; link ML to GMV and retention; defend unit economics.
- AI-native daily practice; use LLMs and AI tools to prototype and analyze.
🎁 Benefits
- Company-paid medical, dental, and vision insurance
- Retirement savings plan with company match and FSA
- Generous paid parental leave and PTO
- Remote work stipend to set up your office
- Perks for health, parenting, childcare, and financial planning
- AI-integrated culture across teams
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Product Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!