What you'll do
- Lead and grow a high-performing machine learning and personalization team focused on product recommendations, search, and monetization.
- Manage the full ML lifecycle including data pipelines, modeling, deployment, and monitoring to maximize revenue and user value.
- Set technical and algorithmic direction, balancing experimentation with scalable execution in partnership with senior leaders.
- Be a hands-on leader by reviewing ML designs, building prototypes, and conducting data science research to accelerate progress.
- Drive cross-functional collaboration with Product, Design, Analytics, and Data teams to translate business problems into technical solutions.
What you should know
- This role offers the chance to lead and shape the ML function within a mission-driven consumer-facing company.
- Applicants should be comfortable working in an AI-forward environment where ML is embedded in daily operations.
- The position requires balancing technical hands-on work with people management and strategic leadership.
- Expect to work on complex personalization systems impacting discovery, engagement, and monetization.
- Competitive compensation includes salary, equity, benefits, and strong support for career growth and work-life balance.
About the company
- Babylist is a leading registry and e-commerce platform serving over 9 million users annually in the baby product industry.
- The company has a remote-first culture with HQ teams across the U.S. and Canada, emphasizing purposeful work and biannual in-person meetings.
- Babylist integrates AI deeply into its workflows to support innovation and scale impact across its ecosystem.
- It operates in a large, growing market with over $1 billion in annual GMV and $500 million in projected 2024 revenue.
- The company values exceptional management, work-life balance, and building products that positively impact families.
Key required skills
Pythonpandasscikit-learnxgboostPyTorchAirflowMachine LearningData ScienceML lifecycleProduct management