LG Ad Solutions operates a connected TV ad platform built on a data-intensive stack—Spark, Databricks, Airflow, Kafka—handling terabyte-scale pipelines for DSP/SSP and ACR (automatic content recognition) data. Engineering-heavy hiring across data, product, and infrastructure signals active work on a real-time decisioning engine and audience management tools; concurrent projects in Kubernetes migration and on-premises buildout suggest infrastructure constraints are driving roadmap velocity.
LG Ad Solutions helps advertisers reach audiences across connected TVs and digital screens using deterministic TV viewership data and LG smart TV inventory. The platform consolidates planning, activation, and measurement across fragmented CTV environments, enabling brands to optimize campaigns in flight and measure business outcomes. Founded in 2013 and headquartered in Mountain View, the company operates at 201–500 employees across the United States, India, and the United Kingdom, with active hiring in engineering, product, and data roles.
Apache Spark, Databricks, Apache Airflow, Kafka, AWS (EKS, RDS, DynamoDB), Go, C++, Python, Kubernetes, Salesforce, Splunk, and Grafana. They are replacing Kubernetes and Docker as part of infrastructure modernization.
Real-time decisioning engine, terabyte-scale data pipelines for DSP/SSP and ACR, Kubernetes cluster migration, audience management and media planning tools, data governance framework, and end-to-end campaign management platform.
LG Ad Solutions'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.