Cloud shop management software for heavy-duty repair operations
Fullbay builds shop management software for the heavy-duty repair vertical, with a tech stack centered on AWS infrastructure (Lambda, ECS, RDS, SQS, SNS) and React frontend. The hiring mix reveals a sales-led growth phase: 5 sales roles against 4 engineering, with active projects focused on promo codes, custom pricing, and SMB acquisition — paired with pain points around revenue leakage, enterprise outreach scaling, and lead routing. The company is addressing both product maturity (performance, data discrepancies) and go-to-market execution simultaneously.
Fullbay is a cloud-based shop management platform designed for heavy-duty repair shops. The software targets shop owners and technicians, aiming to improve operational efficiency and reduce administrative overhead. The company operates from Phoenix, AZ with 201–500 employees. Core product areas include shop management workflows, electronic authorization systems, and customer-facing portals. Current hiring is concentrated in sales and engineering, with secondary focus on operations, product, finance, and marketing — all roles in the United States.
Fullbay runs on AWS (Lambda, ECS, RDS, SQS, SNS, CloudWatch, API Gateway), React frontend, Java and Kotlin backends, Node.js services, and DynamoDB for data. Monitoring via Datadog, Grafana, and Prometheus. CRM/sales stack includes Salesforce, Outreach, and Salesloft.
Current projects include promo code lifecycle management, downsell workflows, custom pricebook creation, Salesforce data enrichment, lead-routing cadence optimization, and SMB customer acquisition strategy.
Fullbay'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.