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Twin Health Tech Stack

Metabolic health platform combining AI and clinical care for chronic disease management

Hospitals and Health Care Menlo Park, California 201–500 employees Founded 2018 Privately Held

Twin Health operates a clinically-validated B2B2C metabolic health platform sold through employers and health plans. The stack reveals dual operating systems: Snowflake + dbt + Hightouch for real-time member data pipelines, and a full sales/marketing apparatus (Salesforce, Stripe, WhatsApp) built around acquisition and retention. Active hiring is split between healthcare clinicians (6 open roles), sales operations (4), and engineering (3), while the project list — sales training, CRM optimization, AI-driven acquisition workflows, billing operations — signals a company hitting scaling friction: sales execution, operational efficiency, and member acquisition economics all showing strain simultaneously.

Tech Stack 28 technologies

Core StackAWS Snowflake Stripe Python dbt Workato Salesforce FastAPI Java JavaScript Node.js Vue Angular React MySQL Docker AWS Security Hub GuardDuty AWS Macie Hightouch Rivery Spring Boot Coupa Ariba HTML5 Amazon DynamoDB WhatsApp
AdoptingWiz

What Twin Health Is Building

Challenges

  • Scaling rapidly across the u.s.
  • Optimizing clinical operations efficiency
  • Improving lead-to-sale conversions
  • Supplier risk reduction
  • Scaling sales operations
  • Rising chronic disease costs
  • Scaling ai product globally
  • Improving metabolic health outcomes
  • Registration and cac
  • Scaling acquisition engine

Active Projects

  • Sales training program development
  • Operational systems
  • Crm usage improvement
  • Next-generation member acquisition experience
  • Member acquisition machine
  • Ai-driven growth workflows
  • Nutrition product stack evolution
  • Ai-driven nutrition platform
  • Redundant validation process
  • Billing operations sop

Hiring Activity

Accelerating30 roles · 25 in 30d

Department

Healthcare
6
Sales
4
Design
3
Engineering
3
Marketing
3
Ops
2
Product
2
Data
1

Seniority

Senior
10
Mid
6
Junior
3
Lead
3
Director
2
Manager
2
Principal
2
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About Twin Health

Twin Health delivers a metabolic health benefit targeting type 2 diabetes, prediabetes, and obesity through a proprietary 'Digital Twin' technology that personalizes recommendations across nutrition, activity, sleep, and stress based on smart device data and lab work. The platform is sold exclusively through employer and health plan partners, not directly to consumers. Clinical outcomes cited in their messaging include medication elimination (73% of members), average 14-pound weight loss in 6 months, and improvements in A1C, cholesterol, and hypertension across their member base. The company operates from Menlo Park with 201–500 employees and is actively expanding U.S. reach while building out healthcare, sales, and engineering capacity.

HeadquartersMenlo Park, California
Company Size201–500 employees
Founded2018
Hiring MarketsIndia, United States, Estonia

Frequently Asked Questions

What tech stack does Twin Health use?

Twin Health runs Snowflake + dbt + Hightouch for data pipelines, Salesforce for CRM, Stripe for billing, FastAPI and Spring Boot for APIs, and React/Vue/Angular for frontend. AWS infrastructure with Security Hub, GuardDuty, and Macie for security. Adopting Wiz for cloud security.

What is Twin Health working on?

Current priorities include AI-driven member acquisition workflows, nutrition product platform evolution, sales operations scaling, CRM adoption improvement, and billing operations standardization. Also developing new member acquisition experiences and sales training programs.

How this profile is built

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.