AI-native analytics platform with governed semantic layer and embedded BI
GoodData.AI builds a composable analytics and agentic AI platform on a polyglot stack (Kotlin, Java/Spring, Python, Ruby) with Apache Arrow, DuckDB and Polars powering data processing. Senior-heavy, engineering-led hiring centers on Kubernetes, Helm, Terraform and Flux across AWS, Azure and GCP, while Rust adoption and a full Grafana LGTM observability stack point to performance work and production hardening of AI agents.
GoodData.AI offers a decision intelligence platform that combines semantic modeling, governance, analytics and agentic AI. Customers use it to build, embed and monetize analytics and AI applications, including multi-tenant embedded deployments. The platform targets CIOs, product leaders and data teams in enterprises that need governance and compliance. It is API-driven with SDKs for developers and runs in the cloud. The privately held company is headquartered in San Francisco and employs 201–500 people.
GoodData.AI runs Kubernetes, Helm, Terraform and Flux on AWS, Azure and GCP, with Kotlin, Java, Python and Ruby services, PostgreSQL, Apache Pulsar, Apache Arrow, DuckDB and a Grafana/Prometheus observability stack.
Yes. Hiring is steady and engineering-led, skewed toward senior roles, with smaller openings in data, ops and sales focused on cloud infrastructure and AI production rollout.
Current projects include a multi-layered agentic AI system, AI monitoring and observability, Kubernetes infrastructure optimization, platform evolution via Helm and Terraform, and composable AI-driven analytics infrastructure.
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GoodData.AI'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.