Senior Product Manager, 23andMe

• 5+ years of product management experience with a proven track record of launching successful, consumer-facing web and mobile applications
• A BS/MS in Computer Science, Engineering, Bioinformatics, Statistics, or a related technical field, or equivalent experience
• Deep, hands-on understanding of the end-to-end lifecycle of machine learning models, from data collection and feature engineering to model evaluation and deployment
• Fluency with data analysis; you are comfortable writing your own queries and building dashboards to monitor product health and model performance
• Excellent communication skills, with the ability to articulate a compelling product vision and navigate complex technical trade-offs with both engineering and executive teams
• Proficiency in using LLMs in your daily workflow to ideate, iterate, and deliver products more quickly
• Ability to work from 23andMe's office mid-Peninsula, CA a minimum of 3 days per week

Desirable

• We’re looking for an AI product leader to architect the intelligence that transforms this rich, multimodal data into a trusted health companion
• You will define and build the next generation of AI-powered features that provide continuous, clinician-backed guidance
• This is a rare opportunity to shape a product that helps people proactively manage and improve their long-term health
• Own the Feature Roadmap: You'll own and execute the product roadmap for a core set of new AI-powered health features, from initial concept through launch and iteration
• Translate Vision into Reality: Specify detailed product requirements for new mobile-first features that use AI to deliver empathetic, trustworthy, and deeply personalized health insights
• Drive Engagement Loops: Partner with engineering and design to build and optimize features that encourage users to understand their health, take action, and build a lasting relationship with our products
• Execute with a Cross-Functional Team: Drive feature development by building powerful relationships and seamless processes with R&D, engineering, analytics, design, and marketing
• Define and Measure Success: Establish and own the key metrics for your features. Analyze user data and product performance to make informed, data-driven decisions for future iterations
• Be the Voice of the Customer: Collaborate with our consumer insights and product marketing teams to deeply understand user needs, fears, and motivations in the digital health space