Healthcare demand-side platform for pharmaceutical and health brand marketing
DeepIntent operates a demand-side platform (DSP) tailored to healthcare marketers, combining media buying, identity data, and clinical datasets. The tech stack reveals a data-intensive operation—Python, Spark, Airflow, BigQuery, ClickHouse, and Druid underpin pipeline and analytics work—while adopting Kafka and Hadoop signals movement toward real-time data handling. The hiring surge in data (5 roles) and engineering (5 roles) alongside projects focused on scalable data architecture, DataOps, and self-service pipelines indicates the company is shifting from monolithic data practices toward distributed, self-serve infrastructure.
DeepIntent is a healthcare-focused demand-side platform serving pharmaceutical companies, health insurers, and their agencies. Founded in 2016 and based in New York, the company operates with 201–500 employees and combines programmatic media buying with privacy-safe identity and clinical data integration. The platform enables campaign planning, activation, and optimization across display, mobile, and omnichannel surfaces. DeepIntent's sales motion is direct (4 active sales roles) alongside product and post-sales support, indicating both new logo acquisition and account expansion work.
Core: Python, Java, Spring Boot, MySQL, AWS, GCP. Data: Apache Spark, Airflow, BigQuery, ClickHouse, Druid. Frontend: React, TypeScript, GraphQL, Vite. Adopting: Kafka, Hadoop, additional Spark and Airflow depth. Monitoring: Grafana, Google Analytics, Pendo.
Scalable data architecture, DataOps implementation, self-service pipeline development, data pipeline optimization, monitoring/alerting strategy, and front-end performance optimization for large-scale data applications. Also addressing test coverage and post-sales operations.
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