Digital mental health platform combining clinical care, content, and tech at scale
Headspace operates a consumer and enterprise mental health platform serving millions of members globally. The tech stack—AWS, GCP, Snowflake, Redshift, Databricks, and PySpark—reflects dual infrastructure maturity for both consumer-facing services and data-heavy analytics. Active hiring is concentrated in healthcare roles and engineering, with concurrent projects spanning ML platform scaling, enterprise platform buildout, and data infrastructure overhaul, indicating aggressive expansion into B2B and internal capability.
Headspace delivers meditation, mindfulness, and clinical mental health support through digital products and mobile applications. The platform combines evidence-based content with live clinical care and technology to serve individual members and enterprise clients. Operations span consumer subscription and B2B channels (including workplace wellness packages), supported by a 501–1,000 person team headquartered in San Francisco. The company is actively scaling its enterprise platform, partnership integrations, and underlying data infrastructure, with hiring concentrated in healthcare, engineering, product, and sales roles across US and UK markets.
Headspace runs on AWS and GCP, with TypeScript and Node.js for application layers, Python and PySpark for data processing, and Snowflake, Redshift, and Databricks for analytics and warehousing. Infrastructure is managed via Terraform; security via Okta and Intune.
Active projects include enterprise platform development, ML platform architecture and scaling, audience segmentation tooling, data infrastructure modernization (containerization, serverless), and secure, compliant data warehousing. The company is also handling care scheduling, member data modeling, and partnerships.
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