AI-driven retail intelligence and retail media activation for brands
Stackline pairs a big-data analytics stack (Spark, Hive, Hadoop, Redshift, Airflow, scikit-learn) with hands-on retail media execution across Amazon DSP, The Trade Desk, Criteo and Instacart. Hiring has slowed and tilts toward senior sales and marketing rather than engineering, suggesting growth now runs through managed-services and account expansion. Job posts flag real-time data and AI shopping agents as pressures.
Stackline is a Seattle-based, privately held company founded in 2014 that provides retail intelligence and activation software for consumer brands. Its platform applies machine learning to e-commerce data, covering market insights, revenue metrics, shopper behavior and digital shelf performance. Alongside analytics, the company runs paid search and programmatic advertising for brands across major retail media networks. Stackline employs 201–500 people and hires in the United States and United Kingdom.
Stackline runs on AWS with Python, TypeScript, Node.js, MongoDB, PostgreSQL, Redshift, Elasticsearch, Apache Spark, Hive, Hadoop, Airflow and scikit-learn, plus ad platforms like Amazon DSP, The Trade Desk and Criteo.
Hiring is decelerating and concentrated in senior sales and marketing roles, with a few positions in data, security and support, across the United States and United Kingdom.
Stackline is headquartered in Seattle, Washington. It was founded in 2014 and has 201–500 employees.
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Stackline'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.