Fullbay Tech Stack

Shop management software for heavy-duty repair operations

Software Development Phoenix, AZ 51–200 employees Privately Held

Fullbay operates a cloud-based shop management platform for heavy-duty repair shops. The tech stack reveals a company building workflow automation (Zapier, Make, n8n, Salesforce Flow) and embedding AI capabilities (Claude, GitHub Copilot), while monitoring operational health with Datadog, Grafana, and Prometheus—suggesting they're maturing their platform's reliability as they scale. Active hiring skews heavily toward engineering and product, indicating accelerating development velocity focused on automation and AI-driven features.

Tech Stack 31 technologies

Core StackZapier Make n8n Salesforce Figma Gainsight AWS Datadog Grafana Prometheus CloudWatch GitHub Copilot Java Kotlin Node.js AWS Lambda AWS RDS Salesforce Flow ChurnZero Google Drive Pendo Claude Harness API Gateway AWS ECS AWS SQS AWS SNS Word Excel PowerPoint+1 more

What Fullbay Is Building

◆Challenges

Reducing friction in shop workflows
Scaling partnership programs
Improving signal quality
Data gaps
Bottlenecks
Complex workflows
Expanding partnership network
Reducing churn
Manual processes
Maximizing net revenue retention

▲Active Projects

Ai pilot framework
Automation workflows
Roadside repairs workflow
Predictive inventory workflow
Legal document organization and management
Initial contract reviews
Contract lifecycle records maintenance
Cross-domain customer experience initiatives
Customer journey mapping across repair, parts, financials
Fullbay’s customer advisory board program

Hiring Activity

Accelerating15 roles · 10 in 30d

Department

Engineering

Product

Marketing

Support

Design

Legal

Sales

Seniority

Senior

Mid

Junior

Manager

Notable leadership hires: Partnerships Lead

Company intelligence

Find more companies like Fullbay by tech stack, pain points and active projects

Get started free

About Fullbay

Fullbay provides cloud-based shop management software designed specifically for heavy-duty repair operations. The platform addresses core pain points in repair shops: manual processes, workflow friction, and fragmented customer experiences across repair, parts, and financing workflows. The company is expanding beyond core shop management into contract lifecycle automation, predictive inventory, and roadside repair workflows. Leadership is actively scaling partnership programs and building a customer advisory board.

HeadquartersPhoenix, AZ

Company Size51–200 employees

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Fullbay use?

Fullbay's core stack includes Java and Kotlin backends, AWS infrastructure (Lambda, ECS, RDS, SQS, SNS), and Node.js services. Automation and integration layer uses Zapier, Make, n8n, and Salesforce Flow. Observability relies on Datadog, Prometheus, and Grafana. Product teams use Figma, Pendo, and ChurnZero.

What is Fullbay working on?

Active projects include an AI pilot framework, automation workflows for roadside repairs, predictive inventory management, contract lifecycle automation, and cross-domain customer experience initiatives mapping repair, parts, and financial workflows together.