Learning management platform for enterprise employee and customer training
Litmos is a SaaS learning management system serving 30+ million users across 150 countries, built on a .NET + React + SQL Server stack running on Azure. Heavy engineering hiring (11 of 18 open roles) focused on microservices, test automation, and CI/CD infrastructure signals internal platform modernization — moving away from monolithic architecture toward distributed services while tackling production defects and deployment predictability. The pain-point pattern (service decomposition, operational rhythm, cross-team dependencies) maps directly to their infrastructure-as-code and dashboard projects.
Notable leadership hires: Chief of Staff
Litmos develops a cloud-based learning management system designed for mid-market to enterprise companies training employees, customers, and partners. The product spans content delivery, user management, and reporting across mobile and web interfaces. Founded in 2007 and now owned by Francisco Partners (after prior acquisitions by CallidusCloud and SAP), the company operates from San Francisco with a 201–500-person team. The platform is localized into 35 languages and integrates with workflow and CRM tools including Salesforce. Current engineering focus centers on platform stability, scalability, and developer experience—areas reflected in active infrastructure and quality initiatives.
Core: .NET, C#, React, SQL Server. Cloud: Azure (with DevOps, AD, SQL Database, SQL Managed Instance). CI/CD and tooling: Jira, Azure DevOps, Terraform, Bicep. Also runs on AWS with Python support and integrates Salesforce and Marketing Cloud.
Yes. Engineering roles represent 11 of 18 active openings (61% of hiring). Mix is skewed senior (8 of 11 are senior or lead level), focused on microservices, automation, and infrastructure. Actively hiring in US and UK.
The platform operates in 150 countries and supports 35 languages. The company has hiring presence in the United States and United Kingdom.
Litmos'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.