adjoe operates a programmatic advertising and app monetization platform processing billions of daily events. The tech stack—Kafka, Spark, Flink, Druid, and AWS analytics services—reflects a data-intensive adtech architecture under active scaling pressure. Notably, they're migrating reporting infrastructure from QuickSight to Tableau while simultaneously adopting Kubernetes and Flink, suggesting infrastructure maturation alongside reporting modernization. Sales hiring (16 roles) significantly outpaces engineering (9), indicating a revenue-scaling phase tied to expanding publisher and advertiser partnerships.
Notable leadership hires: Tech Lead, Demand Director
adjoe is a Hamburg-based advertising and monetization platform serving mid-market publishers and advertisers. The product focuses on rewarded engagement models and programmatic targeting to drive user acquisition and publisher revenue growth. Operating at scale—handling billions of daily events—the platform supports mobile app monetization, publisher partnerships, and advertiser campaign optimization. The company spans seven hiring geographies (Germany, UK, Singapore, China, US, France, Japan), reflecting a global go-to-market motion anchored in sales and partnership expansion.
Primary stack: Kafka, Apache Spark, Java, Kotlin, Swift, React, TypeScript, Go, AWS (Athena, RDS, Lambda, SQS, EMR), MySQL, Druid, Elasticsearch, and Prometheus. Data tools: Apache Airflow, Kinesis, DynamoDB, SQL, Python, R.
Key initiatives: migrating reporting to Tableau, scaling data pipelines, expanding gaming and enterprise publisher partnerships, API event aggregation, budget optimization, and brand safety in rewarded ad placements.
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