AI-driven metabolic health benefit for employers and health plans
Twin Health pairs a Digital Twin model of each member's metabolism with a clinical care team to treat type 2 diabetes, prediabetes and obesity. Its stack spans native mobile (Kotlin, Swift, Jetpack), Python/FastAPI and Java/Spring Boot services on AWS and Kubernetes, and a dbt + Snowflake + Hightouch + Braze pipeline for member engagement. Hiring is accelerating, split evenly between engineering and clinical roles, as the company builds a Medicare Advantage offering.
Notable leadership hires: Finance Director, Creative Director
Twin Health is a Menlo Park, California company founded in 2018 that delivers a metabolic health program for chronic conditions such as type 2 diabetes, prediabetes and obesity. The program is sold as a benefit through employers and health plans rather than directly to consumers. Members share data from smart devices, meal logs and lab work, which the platform uses to generate personalized guidance on nutrition, activity, sleep and stress, supported by a clinical care team. The privately held company has 201–500 employees and hires in the United States and India.
Twin Health uses Python, FastAPI, Java, Spring Boot, Kotlin and Swift on AWS and Kubernetes, with dbt and Snowflake for data, Hightouch and Braze for engagement, and Salesforce, HubSpot, Gong and Salesloft for sales.
Yes. Hiring is accelerating across engineering, healthcare, product and sales, with additional openings in marketing, operations, support and finance, in the United States and India.
Current initiatives include building and scaling a Medicare Advantage offering, developing an AI-enabled metabolic care model, agentic AI interactions, a refreshed mobile app strategy and pre-implementation pilots.
Other companies in the same industry, closest in size
Twin Health's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.