Saama builds AI and analytics infrastructure for life science operations, with a tech stack anchored in Kafka, Airflow, Snowflake, and Tableau. The company is actively modernizing its data platform while adopting Snowflake and cloud infrastructure (AWS/Azure) and replacing legacy monitoring tools — a pattern consistent with scaling from on-premise systems toward cloud-native, AI-ready architecture. Hiring velocity is accelerating across engineering and data roles, with a senior-skewed mix suggesting leadership depth in technical execution.
Saama develops data and AI solutions for clinical trial management and life science commercial operations. The platform integrates clinical and commercial data streams (Epic Systems, Cerner, HL7 FHIR) and powers analytics, observability, and intelligence workflows for pharmaceutical and biotech organizations. The company operates across multiple geographies with 1,001–5,000 employees, headquartered in Campbell, CA. Core projects center on enterprise data warehouse modernization, cloud migration, generative AI implementation, and revenue cycle analytics.
Saama uses Kafka, Apache Airflow, Snowflake, PostgreSQL, AWS, Power BI, Tableau, GCP, and Azure. Clinical integration relies on Epic Systems, Cerner, and HL7 FHIR standards. Observability and workflow tooling include Jira, Confluence, ServiceNow, and Kubernetes.
Saama is actively recruiting in the United States and India.
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