Digital chronic disease management platform for employers and health plans
Omada operates a direct-to-consumer virtual care platform for chronic conditions, deployed at scale through enterprise partnerships with employers, health plans, and government agencies. The tech stack reveals a mature, data-heavy organization: Ruby/Python backends on AWS, Kafka/Kinesis for event streaming, and a full BI pipeline (Redshift, Snowflake, BigQuery, Tableau). Hiring velocity is accelerating with a senior-heavy mix and a focus on engineering and product — matching active project priorities around backend infrastructure, AI integration, and launch processes. Pain points cluster around commercial scaling (enrollment, upsells, churn) and operational efficiency (reporting, procurement, gross margin), indicating a post-IPO company optimizing for profitability.
Notable leadership hires: Chief Revenue Officer, Enterprise Sales Director
Omada Health delivers virtual care programs for chronic conditions including obesity, prediabetes, diabetes, hypertension, and musculoskeletal conditions, with specialized care pathways for GLP-1 journeys. The company sells through employers, health plans, pharmacy benefit managers, and government agencies, reaching millions of members via mobile and web applications. Care is delivered through a combination of AI-driven tools and human coaches. The organization operates from San Francisco with 501–1,000 employees and became a Nasdaq-listed public company in 2025. Outcomes are published in peer-reviewed literature, and the platform is designed to drive behavior change, reduce healthcare costs, and deliver ROI to payers.
Backend: Ruby, Python, Django, Ruby on Rails on AWS with Kubernetes and Docker. Data: Kafka, Kinesis, Apache Airflow, Redshift, Snowflake, BigQuery. BI: Tableau, Amplitude. Ops: NetSuite, Salesforce, Workday, Zendesk.
Backend modernization for mobile/web apps, cloud infrastructure and architecture, AI system integration, new business channels, experimentation frameworks, and multi-year procurement planning. Also scaling reporting infrastructure and improving launch processes.
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Omada 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 →
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