Crypto market data and analytics platform with AI-powered tools for traders and institutions
CoinMarketCap runs a data-heavy platform combining traditional BI (Tableau, Looker, Power BI) with modern ML infrastructure (PyTorch, TensorFlow, vLLM, LangGraph, Dify, CrewAI) — signaling a shift toward AI-augmented market intelligence and conversational tools. The engineering-dominant hiring mix (47 engineers vs. 23 product, 12 data) and active projects around RAG pipelines, oracle systems, and AI chatbots reveal a company deepening into real-time on-chain analytics and LLM-powered user experiences while tackling SQL optimization and data-migration challenges at scale.
Notable leadership hires: VP Marketing
CoinMarketCap provides real-time cryptocurrency market data, on-chain analytics, and API access to traders, builders, and institutional clients. The platform spans portfolio tracking, educational content, DeFi and NFT insights, and AI-driven research tools. Infrastructure includes a Kafka-based data pipeline feeding Kubernetes-orchestrated services (Spring Boot, XXL-Job) and analytics warehouses (MongoDB, MySQL, Redis). The company operates across nine countries, with primary hiring in Asia-Pacific and European hubs.
Core: Python, PyTorch, TensorFlow, Kafka. Data: MongoDB, MySQL, Redis, OpenSearch. Analytics: Tableau, Looker, Power BI, Google Analytics. ML infrastructure: vLLM, LangGraph, Dify, CrewAI for AI features. Orchestration: Kubernetes, Spring Boot.
Oracle project, RAG pipeline development, AI chatbots, points/membership system, business dashboards, DexScan (DEX analytics), model context protocol server deployment, and core metric monitoring systems.
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