Teads operates a multi-cloud ad tech stack (AWS, GCP, Azure) built on Scala, Kafka-adjacent patterns (Apache Spark, real-time auction resolution), and data infrastructure (BigQuery, Vertica, Looker) to serve 10,000+ publishers and 20,000+ advertisers. The engineering-heavy hiring (41 roles open) focused on infrastructure, real-time systems, and cost efficiency signals a company scaling throughput and latency-critical workloads rather than feature breadth — projects center on multi-cloud orchestration, automated guardrails, and low-millisecond auction resolution.
Notable leadership hires: Industry Director, Total Rewards Director, Sales Director, Product Lead
Teads is a public omnichannel advertising platform (NASDAQ: TEAD) headquartered in New York with approximately 1,700 employees across 30+ countries. The company connects brand and performance advertisers with quality media through a supply-side platform, ad serving, and video formats, powered by predictive AI for targeting and measurement. Operating at global scale, Teads faces high-traffic, low-latency constraints — the stack reflects this: Scala and Go for performance-critical services, Kubernetes and Terraform for infrastructure as code, and BigQuery/Vertica for managing large datasets with sub-second query requirements.
Teads runs Scala, TypeScript, Python, and Go across compute; AWS, GCP, and Azure for cloud; Kubernetes and Docker for orchestration; Apache Spark for distributed data processing; and BigQuery and Vertica for analytics and low-latency data access.
Teads has approximately 1,700 employees globally across 30+ countries, with active hiring accelerating across engineering, sales, product, and data functions.
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