AI workflow automation for pharmacy operations, 340B and intake
Plenful builds AI automation for pharmacy teams, targeting intake authorization, 340B compliance and claims reconciliation. The stack pairs healthcare interoperability standards (FHIR, HL7) with an ML toolchain (MLflow, Weights & Biases, Airflow) and a heavy observability layer (Datadog, Grafana, Sentry, OpenTelemetry), which points to production-grade data pipelines feeding clinical systems. Hiring is senior, engineering-led and decelerating, with a Head of Security search open.
Notable leadership hires: Head of Security
Plenful is a San Francisco-based, privately held company with 51–200 employees that automates administrative and compliance-heavy pharmacy workflows. Its platform covers intake authorization, 340B program operations, claims reconciliation and file processing. Customers include health systems, infusion practices, pharmacies and other healthcare organizations across the United States. The product runs on AWS with PostgreSQL, Aurora and ClickHouse, integrating with clinical systems via FHIR and HL7. The company hires in the United States and Canada.
Plenful runs on AWS (Lambda, ECS, Aurora) with PostgreSQL, ClickHouse and Python, uses FHIR and HL7 for healthcare data, MLflow, Weights & Biases and Airflow for ML, and Datadog, Grafana and Sentry for monitoring.
Yes. Engineering is the largest hiring area, skewed toward senior and staff roles, alongside smaller openings in product, sales, finance and a Head of Security role. Overall hiring pace is slowing.
Job posts point to 340B compliance automation, intake workflows, claims reconciliation, file processing pipelines, reusable use case templates, observability standards and a streamlined customer implementation process.
Other companies in the same industry, closest in size
Plenful'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.