Workers' comp and commercial auto insurance platform for small businesses
Pie Insurance is a digital-first insurance provider focused on workers' compensation and commercial auto for small businesses, with a data stack (Snowflake, Looker, Power BI, Python) built for fast underwriting and premium optimization. The hiring profile—heavily weighted toward operations and claims (10 of 19 open roles)—combined with active projects around claims automation and control efficiency, suggests the company is scaling backend operational capacity to handle increasing policy volume while maintaining margin through better risk selection and claims management.
Notable leadership hires: Claims Team Lead
Pie Insurance provides workers' compensation and commercial auto insurance to small businesses across the U.S., selling through a streamlined digital application process (three-minute quote time cited in marketing materials). The company operates as a remote-first organization with 201–500 employees and is backed by a data engineering approach that includes Salesforce for CRM and underwriting workflow, Snowflake for analytics, and Python-based processing. Core operational challenges center on claims handling efficiency, internal control automation, and scaling underwriting velocity without degrading risk assessment.
Pie runs on Snowflake and Looker for analytics, Salesforce (Sales Cloud, Service Cloud, Marketing Cloud) for customer and claims management, Python and TypeScript for backend services, React for frontend, AWS for compute, and Workday for HR operations.
Pie Insurance is remote-based and headquartered in the United States. The company is actively hiring across the U.S., Argentina, and Brazil.
Pie Insurance'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.