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Checkmate Tech Stack
Omnichannel ordering platform for multi-unit restaurant operators
Checkmate builds ordering infrastructure for enterprise restaurant chains—websites, apps, kiosks, catering, marketplace integrations, and voice AI—with AWS/Python/React foundations. The tech stack reveals a mature, API-first architecture (GraphQL, Sidekiq job queues, load-balanced RDS), while the project list signals a sharp pivot toward AI: phone ordering, drive-thru agents, and AI-driven experimentation dominate recent work. Engineering hiring (6 of 11 open roles) at predominantly senior/lead levels suggests they're scaling platform complexity, not headcount—likely to support the shift from transaction plumbing to AI-augmented ordering experiences.
Tech Stack 65 technologies
Core StackAWS HubSpot Shopify Python React Ruby on Rails GraphQL TypeScript JavaScript Webpack Klaviyo Terraform CloudFormation AWS RDS CloudFront Datadog CloudWatch Prometheus Flask Django MySQL Redis Sidekiq GCP npm Attentive Yotpo VPC AWS Elastic Load Balancing IAM+35 more
What Checkmate Is Building
◆Challenges
- Losing high-intent shoppers to cart abandonment
- Scaling core product platform
- Missed retargeting opportunities
- Modernizing core product platform
- Optimizing user journeys
- Identifying friction points
- Lack of infrastructure to capture intent signals
- Smooth onboarding of new clients
- Validating system functionality before deployment
- Modernizing legacy architecture
▲Active Projects
- Ai coding agent integration
- Digital menu boards
- Phone ordering ai
- Drive thru ai
- Customer-facing digital experiences across multiple platforms
- Optimization of user journeys across multiple touchpoints
- Ai-driven experimentation
- Outbound prospecting pipeline
- Onboarding and expansion opportunities
- Playbook shaping
Hiring Activity
10 roles · 10 in 30d
Department
Seniority
Company intelligence
