AI-powered weather intelligence platform for operational resilience
Tomorrow.io operates a weather and climate intelligence platform built on a polyglot stack (React, Next.js, Python, Go, Kubernetes, AWS/GCP/Azure) with heavy satellite and sensor infrastructure (Software Defined Radio, FPGA, MATLAB). The hiring mix skews engineering-heavy with 8 open engineering roles against 4 sales roles, and projects centered on AI-native frameworks and weather observation constellations signal the company is deepening algorithmic capabilities rather than expanding sales motion. Pain points around federal compliance, multi-year public-sector contract closure, and regional pipeline building indicate they're scaling into regulated, high-friction verticals (government, insurance, aviation) where sales cycles are measured in years.
Tomorrow.io builds a platform for predicting and mitigating weather and climate risks across enterprise operations. The product combines real-time weather observation, AI-driven forecasting, and early-warning systems aimed at organizations managing weather-dependent operations—airlines, logistics networks, agriculture, insurance, and retail. The company operates across three geographic hubs (United States, Israel, Singapore) and serves a mix of commercial verticals and federal/government buyers. Active project work includes weather observation constellation development, federal solution architecture, and compliance infrastructure, alongside platform expansion in AI-native capabilities.
Frontend: React, Next.js, Redux, Webpack. Backend: Node.js, Python, Go, C++, Bash. Infrastructure: AWS, GCP, Azure, Kubernetes, Terraform, Crossplane. Observability: Datadog, Prometheus, Elasticsearch, Logstash, Kibana. Specialized hardware: Software Defined Radio, FPGA, MATLAB.
Boston, Massachusetts. The company also maintains engineering and product teams in Israel and Singapore.
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Tomorrow.io's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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