Domo operates a data platform built on Snowflake, Databricks, and BigQuery, with heavy cloud infrastructure (AWS, GCP, Kubernetes, Docker). The sales-led hiring mix (11 sales roles vs. 7 engineering) paired with consulting and support teams points to a professional-services-heavy go-to-market, reinforced by pain-point data showing adoption friction, implementation delays, and contract-renewal risk — challenges typical of complex enterprise deployments rather than self-serve adoption.
Domo is a public company offering an AI and data platform designed to connect data sources, prepare data for analysis, and accelerate business insights for enterprise customers. The platform sits across the data workflow: ingestion and transformation (Snowflake, Databricks, BigQuery), analytics and visualization, and AI-driven decision support. Domo's customer base spans mid-market to enterprise, with active project work centered on pilot implementations, PoC deployments, KPI design, and rollout planning. The company maintains operations in the United States, Japan, and India.
Domo's core stack includes Snowflake, Databricks, and BigQuery for data processing; Kubernetes and Docker for orchestration; AWS and GCP for cloud infrastructure; and Java, Python, TypeScript, and C# for application development.
Domo is headquartered in American Fork, Utah, and was founded in 2010. The company is publicly traded and maintains hiring presence in the United States, Japan, and India.
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