Tatari operates a connected-TV advertising platform serving brands, agencies, and publishers. The stack—TypeScript + React frontend, Python backend with Databricks + Spark + Redshift for analytics, and Kafka + Airflow for orchestration—indicates a mature data-pipeline architecture built for real-time campaign optimization. Active hiring spans sales (27), engineering (18), and data (15), with accelerating velocity and a seniority-weighted leadership layer (32 senior, 25 manager roles), reflecting a sales-led push to scale advertiser acquisition alongside platform automation.
Tatari builds infrastructure for connected TV and OTT advertising, enabling brands, agencies, and publishers to plan, launch, and optimize campaigns at scale. The platform combines campaign optimization, real-time performance analytics, and self-serve tooling. Three offices—San Francisco, Los Angeles, New York—cover core ad-tech and media-buying hubs. Core projects focus on AI-powered self-serve workflows, programmatic campaign launch, and automation of media buyer tasks, addressing the operational friction that still defines TV ad buying.
Frontend: TypeScript, React. Backend: Python, GraphQL, SQLAlchemy. Data: Databricks, Apache Spark, Redshift, Kafka, dbt. Orchestration: Apache Airflow. Infrastructure: AWS, Kubernetes, Docker, Terraform. Monitoring: Datadog, Kibana.
AI-powered self-serve TV platform, programmatic campaign launch, real-time campaign optimization, media plan development, workflow automation for media buyers, and customer-facing ML features for TV advertising performance.
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