Samba turns viewing and content-recognition data from connected TV, linear and digital into audience signals for targeting and measurement. Its stack pairs Spark, Databricks, Delta Lake and Airflow with BigQuery and Snowflake, and job posts center on entity resolution and knowledge graph pipelines. Hiring is accelerating, with data and sales leading equally and openings spread across Europe and Latin America alongside the US.
Notable leadership hires: Country Lead, Chief Financial Officer, Director Indies
Samba is a privately held media intelligence company founded in 2018 and headquartered in San Francisco, California. It captures what opted-in consumers watch and research across streaming, linear TV and digital, drawing on automatic content recognition and smart TV technology. Brands, agencies and media companies use that data for audience targeting, cross-platform measurement and in-flight campaign optimization. The company employs 201–500 people and hires across the United States, Germany, Poland, the Netherlands, Brazil, Mexico, Portugal and the United Kingdom.
Samba runs data workloads on Apache Spark, Databricks, Delta Lake, Airflow, BigQuery and Snowflake across AWS, GCP and Azure, with Kubernetes, Terraform, React, Python and Node.js, plus HubSpot, Salesforce and Gong for sales.
Job posts point to entity resolution and record linkage pipelines, knowledge graph pipelines built from raw events, reach/frequency campaign measurement and a cross-platform identifier strategy.
Samba hires in the United States, Germany, Poland, the Netherlands, Brazil, Mexico, Portugal and the United Kingdom, with data and sales as its leading hiring areas.
Other companies in the same industry, closest in size
Samba's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
