H1 runs a healthcare provider data platform on Spark, Databricks, Airflow and Kafka over AWS EKS, with PyTorch and TensorFlow for modeling. Hiring is accelerating and skews senior and product-heavy, with a Data Feeds Director search. Pain points cluster on retention, churn and adoption, while projects include AI agents for RevOps and Spark workload optimization, pointing to a push on data infrastructure efficiency alongside account expansion.
Notable leadership hires: Data Feeds Director
H1 is a New York-based, privately held company founded in 2017, with 201–500 employees. It maintains a global dataset of healthcare professionals and applies AI workflows to help identify and engage doctors. Use cases span clinical research, medical affairs, health plan network analytics and provider data management, serving pharmaceutical and healthcare organizations. The company hires in the United States and India across product, data, sales, support and engineering functions.
H1 uses Apache Spark, Databricks, Apache Airflow, Kafka, Elasticsearch and PostgreSQL on AWS with Kubernetes/EKS, plus Python, React, NestJS, PyTorch and TensorFlow. Go-to-market runs on Salesforce, Salesloft and Outreach.
Yes, hiring is accelerating, led by product, data and sales roles, with a mostly senior-level mix and a Data Feeds Director opening. Roles are based in the United States and India.
H1 is developing AI agents for RevOps, optimizing Spark workloads, improving data governance and monitoring, building new taxonomies with QA mechanisms, and improving HCP profile completeness.
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H1'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.
