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Samba TV embeds measurement and discovery software into connected TVs and streaming devices, capturing what viewers watch across fragmented platforms. The tech stack—Databricks, Snowflake, BigQuery, Apache Airflow, PySpark—reveals a data-engineering-first operation; recent adoption of Great Expectations and Databricks Unity Catalog signals active modernization of data governance and validation pipelines. Hiring is sales-driven (23 open roles) paired with substantial data and product teams (17 and 13 respectively), indicating expansion into new markets and client workflows rather than core product overhaul.
Tech Stack 82 technologies
Core StackAWS Python Terraform Kubernetes Jira PySpark Databricks Delta Lake BigQuery Snowflake Apache Airflow Apache Spark Scala Databricks Unity Catalog Great Expectations Iceberg React Okta Intune Cursor OpenAI Rippling Workday CRM GCP AWS EKS X Azure Container Registry Azure Jamf+48 more
What Samba TV Is Building
◆Challenges
- Agency satisfaction
- Building market from scratch
- Modernizing data frameworks
- Complex multi-agency structures
- Scaling identity data pipelines
- Reducing llm costs
- Gap between marketing assets and product experience
- Privacy compliance
- Scalability and accuracy
- Transforming internal interface
▲Active Projects
- Third-party platform integrations roadmap
- Local marketing initiatives
- Unified client reporting portal (samba's bridge)
- Operational foundation for brazil presence
- Brazil market entry strategy
- Building automated data validation suites with great expectations
- Implementing data governance using databricks unity catalog
- Audience segment setup
- Audience activation
- Api-first platform services
Hiring Activity
85 roles · 55 in 30d
Department
Seniority
Notable leadership hires: Chief Financial Officer, Client Director, Content Marketing Director, Country Lead
Company intelligence
