Domino Data Lab runs an enterprise AI platform deployed across AWS, GCP and Azure on Kubernetes and Helm, integrating with Databricks, SageMaker, Cloudera and SAS. A heavy container-security toolchain (Prisma Cloud, Twistlock, Trivy, SAST, DAST) reflects its regulated buyer base. Accelerating hiring is engineering-led with a sizable support function, and job posts point to governance features, AI inferencing and customer-specific cloud integrations.
Domino Data Lab, founded in 2013 and headquartered in San Francisco, builds a platform that lets enterprises develop, scale and govern AI and data science work. Its customers are large, heavily regulated organizations in areas such as life sciences, public sector and financial services. The platform spans statistical computing through to agentic AI use cases. The privately held company employs 201–500 people and hires across the United States, Europe, Latin America and India.
Domino uses Python, Go, Java and Scala on Kubernetes, Docker and Helm across AWS, GCP and Azure, with Spark, Kafka, Databricks, SageMaker and SAS, plus Prometheus, New Relic, Prisma Cloud and Okta.
Yes. Hiring is accelerating and led by engineering, with support as the second-largest function, and openings across the United States, Spain, Germany, Argentina, India, Mexico and Bulgaria.
Job posts point to custom cloud and data integrations, AI inferencing workflows, governance feature integration, automated model documentation and production-grade AI solutions for high-impact use cases.
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Domino Data Lab'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.
