Sr. Product Manager

23andMe•Palo Alto, CA

1d•$160,000 - $200,000•Hybrid

About The Position

23andMe is building a new kind of preventative healthcare powered by a unique dataset: deep genetic information layered with ongoing data from blood labs, electronic health records, surveys, and wearables. We are looking for a product leader to own the consumer health experience that turns that multimodal data into trusted, everyday health guidance. At the center of that experience is our AI-powered Health Summary, the feature that brings genetics, labs, EHRs, surveys, and wearables together into one clear, evolving picture of a member’s health. You own that surface end to end. Trust is central to it: members only act on the Summary if they trust it, and that depends on how carefully we handle their data. Your job is to make 23andMe the place people go to understand their health and decide what to do next.

Requirements

8+ years of product management experience, or equivalent, with a track record of launching consumer web and mobile products at scale.
Experience in consumer health.
Experience in AI/ML-powered products.
Experience shipping consumer products in a privacy-sensitive, regulated space (health, fintech, or similar).
Comfort working with clinical, regulatory, and legal partners, and judgment about when a health feature needs review before shipping.
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.
Fluency with data; you understand data structures and can build dashboards (e.g. in Hex) to track product health.
Strong communication; you can carry a product vision and work through technical trade-offs with engineers and executives.
You use LLMs daily in your own workflow.
A technical or life-sciences degree (e.g., Computer Science, Engineering, Bioinformatics, Statistics, Biology) or equivalent experience.
Ability to work from 23andMe’s mid-Peninsula, CA office a minimum of 3 days per week.

Nice To Haves

HIPAA or genetic-data experience is a strong plus.
Familiarity with FDA-regulated products is a plus.
An MBA is a plus.
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.

Responsibilities

Own the AI Health Summary and the home screen of the health app it anchors.
Own the experience that ties together data pipelines and underlying science.
Define what gets surfaced, how insights are framed, and the engagement and retention metrics that show it is working.
Own the member-facing experience of connecting EHR and wearable data: the prompts, the value exchange, and connection rates.
Own which genetic insights (polygenic and clinical risk scores) we focus on and how they are surfaced and made actionable.
Own how members see and control what they share, working with design, security, privacy, and legal.
Build a strong product within the limits set by medical, regulatory, and legal teams, and flag when a feature needs review.
Inform the strategy for the Health product.
Make the case for what to build and what to skip, with the default being not to build.
Define what success looks like and use data to judge whether it is working.
Lead cross-functionally (research, engineering, analytics, design, marketing) without direct authority.
Stay close to the member to understand their needs and wants from their health.