Marketing data integration and analytics platform for revenue reporting
Improvado pipes marketing and sales platform data into warehouses and dashboards, running a multi-warehouse stack (ClickHouse, BigQuery, Snowflake, Redshift) with dbt, Airflow and Temporal for orchestration. Accelerating hiring is split evenly between engineering and marketing, with a strong data contingent, and job posts center on AI-driven analytics infrastructure and replacing manual work with AI, which points to a push to automate analyst-heavy client delivery.
Improvado is a privately held company founded in 2015 and headquartered in San Diego, California, with 51–200 employees. It offers an end-to-end marketing analytics platform that extracts, normalizes and visualizes data from a wide range of marketing and sales tools. Customers are marketing teams that need cross-channel performance reporting, revenue attribution and metrics such as customer lifetime value and acquisition cost. Output lands in BI tools including Looker, Power BI, Tableau and Superset. The company hires across the United States, Serbia, Argentina, Brazil, Uruguay and Armenia.
Improvado uses dbt, ClickHouse, BigQuery, Snowflake, Redshift, Apache Airflow, Temporal and Python for data, plus React, Next.js, TypeScript, Node.js and Java for its application, with PostgreSQL in the mix.
Improvado hires in the United States, Serbia, Argentina, Brazil, Uruguay and Armenia, with hiring weighted toward senior engineering, marketing and data roles.
Job posts point to dbt data transformations, Helm-based multi-environment infrastructure, a monitoring and alerting stack, AI-driven analytics infrastructure, and dashboard development across multiple BI platforms.
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Improvado'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 →
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