Enterprise digital asset management platform for media-heavy organizations
Orange Logic operates a DAM platform built on Python, JavaScript, C#, and Java with infrastructure across AWS, Azure, and GCP. The hiring velocity is accelerating, but the project and pain-point data reveal a sharp pivot: 50% of open roles sit in marketing (demand generation, ABM, marketing ops, AI workflows), with active projects focused on enterprise pipeline growth, attribution frameworks, and AI-enabled communications. This signals a company doubling down on sales-motion maturity and go-to-market infrastructure rather than product innovation.
Orange Logic is a privately held digital asset management vendor founded in 1998, based in Irvine, California, with 201–500 employees. The platform serves content-heavy enterprises across media & entertainment, finance, healthcare, retail, manufacturing, and nonprofits, helping teams centralize, organize, and distribute branded assets at scale. The product is engineered to support remote collaboration, automate manual workflows, and integrate with existing enterprise systems. Revenue model and customer concentration data are not available in this profile.
Core languages: Python, JavaScript, C#, Java, C++. Cloud: AWS (including RDS), Azure, GCP. Infrastructure: Kubernetes, Docker, Terraform, Ansible. Monitoring: Prometheus, Grafana, Elasticsearch. Support tools: Zendesk, Freshdesk, Asana.
Primary focus: enterprise demand generation strategy, ABM and field marketing scaling, marketing operations infrastructure, AI-enabled marketing and communications workflows, and attribution/performance measurement frameworks.
Orange Logic'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.