Affiliate marketing platform with data-driven performance optimization
Traffic Label runs an affiliate business across multiple online marketing channels, operating since 2006 with a dual-brand portfolio. The tech stack reveals a data-heavy organization: Snowflake + dbt + SQL for transformation, Kafka + Kinesis for streaming, Airflow + Dagster for orchestration, and MLflow for ML ops. Active projects span payment logic automation, fraud strategy, and a Snowflake-based CDP—indicating a shift toward internal data infrastructure and risk automation rather than pure affiliate arbitrage.
Notable leadership hires: Head of Operations, Chief Marketing Officer
Traffic Label is a privately held affiliate marketing business based in St. Albans, England, operating dual consumer brands (Onlinebingo.co.uk and 1CS.com) across multiple online marketing channels. With 11–50 employees, the organization maintains a distributed hiring footprint across Malta, UK, Belgium, Ukraine, Czechia, and Bulgaria. Current operational focus spans payment routing, fraud detection, compliance across jurisdictions, and cost optimization—with active work on ERP refinement, financial process streamlining, and internal control scaling.
Traffic Label uses AWS (Lambda, IAM, Kinesis), Snowflake, dbt, Python, Kafka, Airflow, Dagster, MLflow, Git, SQL, Figma, Adobe Creative Suite, SendGrid, Klaviyo, Salesforce, Customer.io, Braze, Google Analytics, Hotjar, VWO, and Optimizely.
Traffic Label has open roles across Malta, United Kingdom, Belgium, Ukraine, Czechia, and Bulgaria. Current hiring includes data (3 open), ops (2), marketing (2), design (1), finance (1), sales (1), and security (1).
Active projects include payment logic risk-score automation, a Snowflake/AWS customer data platform, global fraud strategy, affiliate network development, performance dashboards, and new payment solution integration.
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