At-home lab testing and virtual care platform for consumers and health plans
Everlywell combines at-home diagnostic testing with telehealth and clinical review, running a React/Next.js/TypeScript frontend on AWS and Azure with heavy experimentation tooling (VWO, Optimizely, Mixpanel, Amplitude). Hiring is accelerating and dominated by clinical roles, pointing to investment in documentation quality, medical necessity review and telehealth capacity, while product work targets AI personalization and enterprise dashboards.
Everlywell is a privately held digital health company headquartered in Austin, Texas, with 201–500 employees. It offers at-home lab testing, virtual care and patient engagement tools, supported by a clinical network and integrated lab. The company serves both consumers and enterprise partners such as health plans, covering use cases from preventive screening to chronic condition management. Its engineering stack includes React, Next.js, TypeScript, Python, PostgreSQL and MySQL, with Salesforce, Braze and Iterable supporting sales and customer engagement. Hiring currently spans the United States and France.
Everlywell uses React, Next.js, TypeScript and Python, with PostgreSQL and MySQL on AWS and Azure, plus GitLab, Docker, Datadog, Sentry, and testing via Cypress, Playwright and Selenium.
Yes. Healthcare roles dominate Everlywell's accelerating hiring, focused on telehealth consultations, clinical quality review and medical necessity review, alongside smaller product, sales and ops openings.
Current initiatives include telehealth consultations, asynchronous medical necessity review for genetic counseling, a clinical quality review program, AI-powered personalization features and enterprise client dashboards.
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Everlywell'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.