Momos operates a customer-intelligence platform built on React + Node.js + Python, serving quick-service and multi-unit restaurant operators. Active work on AI-powered marketing automation, RFM segmentation dashboards, and a next-generation data platform signals movement toward self-service analytics and reduced dependency on engineering support—a key internal pain point. The hiring mix leans engineering-heavy with senior and mid-level roles, paired with steady sales expansion across US and Southeast Asia.
Momos is a SaaS platform for multi-location brands—primarily in quick-service restaurant and retail—that centralizes reputation management, customer experience, customer service, and marketing under a single AI-driven interface. The product surfaces data across 20,000+ locations globally through dynamic dashboards and feedback classification. The company operates from San Diego with 51–200 employees and maintains engineering and sales capacity across the US and Asia-Pacific, suggesting a blend of product-led and sales-led motion.
Front-end: React, Next.js, React Native. Backend: Node.js, Express, Python, Django, Flask, Spring. Data: SQL, Tableau, Looker, Power BI. Infrastructure: AWS, Azure, GCP. Hiring and collaboration: Workable, GitHub.
Headquartered in San Diego, California. Active hiring across United States, Vietnam, Philippines, Singapore, and United Arab Emirates.
AI product launch, next-generation data platform, AI-powered marketing automation, RFM segmentation dashboards, unified inbox feedback classification, and responsive landing page development.
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