Petabyte-scale data and agentic AI infrastructure for large enterprises
Ocient builds a distributed database and AI platform (OcientAIQ) for petabyte-scale workloads, running on-prem alongside AWS, Azure and GCP. Job posts show work on closing feature gaps with scikit-learn and Spark ML, signaling in-database machine learning ambitions. Senior-weighted, engineering-led hiring is accelerating, and a Chief People Officer search points to an organization preparing for rapid growth.
Notable leadership hires: Chief People Officer
Ocient is a privately held, remote-first software company headquartered in Chicago, Illinois, founded in 2016 and employing 201–500 people. It develops data and AI infrastructure designed for organizations handling extremely large datasets, packaged as the OcientAIQ ecosystem. Its offering spans a distributed database system, solution design, pilots and system sizing for enterprise deployments. The company supports both on-premises and cloud environments, and current hiring is concentrated in the United States across engineering, sales, product, support and HR.
Ocient's stack includes Python, Kafka, Ceph, Databricks, Snowflake, BigQuery, Redshift, AWS, Azure, GCP, Prometheus, Grafana, Ansible, Jenkins, GitLab CI/CD, VMware, Proxmox, Splunk and CrowdStrike.
Ocient is headquartered in Chicago, Illinois, and operates as a remote-first company with hiring currently focused in the United States.
Ocient is building distributed database test automation, performance testing tooling, OcientAIQ solution designs, reference architectures, and framework parity with scikit-learn and Spark ML.
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Ocient'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.