Virtual and in-person therapy and psychiatry network with insurance matching
SonderMind runs a therapy and psychiatry marketplace on Ruby on Rails, TypeScript and Python, with FHIR and HL7 in the stack pointing to clinical data exchange with health systems and payors. Hiring is accelerating and overwhelmingly clinical, while a smaller engineering group builds AI agents and core data pipelines on Snowflake, dbt, Apache Iceberg and Snowflake Cortex for analytics and model fine-tuning.
SonderMind is a Denver-based mental healthcare company founded in 2014 that matches clients with licensed therapists and psychiatrists for virtual and in-person care. Clients can filter clinicians by availability, specialty and insurance, with a broad set of plans accepted, including Medicare and Tricare. A companion app supports clients between sessions with AI-assisted features. The company also works with health systems, physicians and payors across the United States. It is privately held and employs 201–500 people.
SonderMind uses Ruby on Rails, TypeScript, Node.js, Python, Angular, PostgreSQL, MongoDB, RabbitMQ, Snowflake, dbt, Apache Iceberg, Looker, Salesforce, HubSpot, and FHIR and HL7 for healthcare data.
Yes. Hiring is accelerating and concentrated in healthcare roles across the United States, mostly at mid and senior levels, alongside a smaller engineering and data team.
Job posts point to AI agent development, cross-team API improvements, system-level architecture work, and core data pipelines that support analytics, experimentation, machine learning and AI fine-tuning.
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SonderMind'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.