Computer vision parking platform with barrier-free lot management
Peter Park operates a software platform for off-street parking operators that combines computer vision with a central management dashboard to automate lot operations and enable dynamic pricing. The tech stack reveals a modern serverless and containerized backend (AWS Lambda, Kubernetes, DynamoDB, RDS) paired with a contemporary frontend (Vue, TypeScript, Node.js), and the company is actively adopting NestJS and BullMQ—suggesting a shift toward event-driven architecture as they scale. Hiring momentum is accelerating with 53 new roles posted in the last month, heavily weighted toward sales (28 roles) and operations (20), indicating a market-expansion phase focused on the DACH region and Switzerland.
Notable leadership hires: Sales Lead, Sales Team Lead, Customer Success Lead
Peter Park develops a cloud-based parking management platform for commercial lot operators in Germany and surrounding markets. The system integrates computer vision technology to monitor parking spaces and occupancy, feeds data to an operator dashboard for centralized control, and enables downstream revenue features like dynamic pricing, smart kiosks, and mobile apps. Founded in 2019 in Munich, the company employs 201–500 people and is actively scaling regional operations, with particular focus on the DACH region and expansion into Switzerland. The business model targets parking facility operators seeking to improve utilization, streamline operations, and unlock new revenue—while end users benefit from barrier-free entry and transparent pricing.
Backend: Python, Node.js, TypeScript, AWS (Lambda, RDS, DynamoDB, IoT Core), Kubernetes. Frontend: Vue, Storybook. Infrastructure: Terraform, Ansible, GitLab CI/CD. Currently adopting NestJS and BullMQ for event handling.
Munich, Bavaria, Germany. Founded in 2019, the company operates a single central office and is expanding hiring into Switzerland.
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