AI platform for physical spaces: parking, airports, retail, hospitality
Metropolis deploys computer vision and ML (PyTorch, TensorFlow, OpenCV, FAISS) across real-world venues—parking facilities, airports, retail, and hospitality environments. The company is mid-transformation: actively migrating to Workday while replacing legacy Oracle systems, and scaling operations infrastructure (1,049 ops headcount) far beyond engineering (37 roles). The hiring velocity and project mix—Workday migration, pricing tools, M&A strategy, and multi-year accounting transformation—reveal an operationally complex business scaling revenue-per-location rather than product-per-developer.
Notable leadership hires: Product Director, Partner Success Director, Traffic Director, Business Development Director, Workplace Experience Director
Metropolis builds a software platform that uses AI and computer vision to manage physical-space operations: vehicle detection and parking management, access control, payment processing, and personalized customer experience. The platform serves real estate, airports, mobility hubs, retail, and hospitality venues. Founded in 2017 and headquartered in Santa Monica, the company operates at 10,001+ employees across the United States and India. The stack spans Python, Java, Scala, Kubernetes, and Kafka for backend systems, with ML workloads on PyTorch and TensorFlow. Current operational focus centers on client satisfaction, safety, fraud investigation, and location-level profitability optimization.
Core: Python, Java, Scala, SQL, Kafka, Kubernetes, Redis, MySQL. ML: PyTorch, TensorFlow, OpenCV, FAISS, Milvus, ONNX, TensorRT. Search: OpenSearch. Legacy: AS/400. HR/Finance: Dayforce, UKG, Payactiv. Adopting Workday; replacing Oracle.
Core projects: Workday migration, pricing tool development, multi-year accounting transformation, client satisfaction and retention improvement, and M&A strategy. Active initiatives also target safety, fraud investigation, scalable close processes, and net-new business RFPs.
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