AI-powered platform for mapping and analyzing customer journeys at enterprise scale
TheyDo builds journey-management software for enterprise brands—a data platform backed by GCP, BigQuery, Snowflake, and Redshift, with Python and dbt handling transformations. The tech stack signals heavy analytics and data-pipeline work; active projects confirm it: scalable BigQuery pipelines, Terraform infrastructure-as-code, and RAG + LLM-based NLP for sentiment and text classification across unstructured customer data. Hiring is sales-led (3 sales roles) with engineering and data support, and both are pitched at senior level—typical of a platform trying to land and expand enterprise accounts.
TheyDo is a journey-management and experience-intelligence platform built for enterprises. The product unifies customer data and behavioral signals across touchpoints, powered by AI-driven analytics to surface patterns and sentiment from customer interactions. Founded in 2018 and based in Amsterdam, the company operates with ~51–200 employees and is actively hiring across the US, Bulgaria, and Belgium. Core pain points reflect scale challenges: unstructured customer-insight analysis, query latency, data governance, and building a repeatable enterprise sales process.
TheyDo's stack centers on GCP, BigQuery, Snowflake, and Redshift for data warehousing, with dbt and Apache Airflow for pipelines, Terraform for infrastructure-as-code, and Python + SQL for scripting. RAG and LLM-based NLP are in active development.
Active projects include scalable BigQuery data pipelines, infrastructure-as-code with Terraform, text classification and sentiment analysis for customer insights, RAG system development, and enterprise sales processes to support land-and-expand strategies with key accounts.
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