Modash runs an influencer marketing platform for Shopify brands, backed by a heavy data stack: Spark on EMR, Airflow, Iceberg, Glue, Kinesis and Databricks, with SageMaker for ML. Its projects center on profiling creators at scale, extracting brand collaborations from raw social data, and LLM- and embedding-based search. Current hiring leans heavily toward customer success, suggesting the company is scaling post-sale support for a growing brand base.
Modash is a Tallinn-based software company founded in 2018 that serves Shopify brands running influencer marketing programs. Its platform covers creator discovery and search, performance aggregation and creator payouts in a single product. The company employs 51–200 people and hires across Estonia, Spain, Portugal and the United Kingdom. Engineering runs on AWS and GCP with Pulumi for infrastructure, Scala, Python and TypeScript services, and a Vue front end.
Modash uses AWS and GCP, Pulumi, Apache Spark on AWS EMR, Airflow, Iceberg, Glue, Kinesis, Databricks and SageMaker, with Scala, Python, TypeScript, Node.js, Vue, DynamoDB, MongoDB and Aurora.
Yes. Hiring is accelerating and weighted toward customer success, with additional data and engineering roles, across Estonia, Spain, Portugal and the United Kingdom.
Modash is building creator demographic and interest profiling at scale, systems that extract brand-creator collaborations from raw social data, and AI-assisted search using LLMs and embeddings.
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Modash'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.
