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Group Product Manager (Consumer Health)
23andMe · Palo Alto, United States
About The Role
Join 23andMe as a Lead Product Manager in Consumer Health. You will own the AI Health Summary and the home screen of the health app, driving engagement and retention metrics. You will also manage data connection, genetic insights, privacy and trust, clinical and regulatory fit, and inform the product strategy. You will lead cross-functionally, stay close to the member, and define success metrics. The role requires 8+ years of product management experience, fluency with data, and experience in consumer health and AI/ML-powered products.
- Posséder l'expérience et la responsabilité de la conception et de l'optimisation de l'interface utilisateur de l'application de santé, en mettant l'accent sur le résumé de santé alimenté par l'IA.
- Diriger la stratégie de produit en utilisant des données et des preuves pour informer les décisions, en définissant les indicateurs de succès et en utilisant les données pour évaluer l'efficacité.
- Collaborer avec des équipes interfonctionnelles pour assurer la mise en œuvre réussie des fonctionnalités du produit, en travaillant en étroite collaboration avec les équipes de recherche, d'ingénierie, d'analyse, de conception et de marketing.
- A working understanding of the machine learning lifecycle, from data and feature engineering through evaluation and deployment, enough to make good trade-offs with the teams building the models
- 8+ years of product management experience, or equivalent, with a track record of launching consumer web and mobile products at scale
- Comfort working with clinical, regulatory, and legal partners, and judgment about when a health feature needs review before shipping. Familiarity with FDA-regulated products is a plus
- Fluency with data; you understand data structures and can build dashboards (e.g. in Hex) to track product health
- Experience shipping consumer products in a privacy-sensitive, regulated space (health, fintech, or similar). HIPAA or genetic-data experience is a strong plus
- You use LLMs daily in your own workflow
- Experience in consumer health and in AI/ML-powered products
- Strong communication; you can carry a product vision and work through technical trade-offs with engineers and executives
- A technical or life-sciences degree (e.g., Computer Science, Engineering, Bioinformatics, Statistics, Biology) or equivalent experience; an MBA is a plus
- Ability to work from 23andMe’s mid-Peninsula, CA office a minimum of 3 days per week
- Hands-on experience building and launching AI/ML-powered products: LLMs, NLP, recommendation engines, or predictive modeling
- Experience with products built on large-scale, multimodal data (genomic, clinical, behavioral)
- Fluency translating probabilistic or risk-based outputs, such as polygenic or clinical risk scores, into something a non-expert can understand and act on
- Experience partnering with a BD or integrations function to land third-party data into a consumer product (EHR or wearables a plus)
- Interest in working closely with researchers building on novel science
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