Cube builds financial intelligence software positioned as an alternative to legacy FP&A platforms (Anaplan, Adaptive Insights, OneStream, Planful, Hyperion). The stack reveals a modern, Python-Django backend on PostgreSQL with AWS infrastructure, paired with deep integrations into Excel and Google Sheets—a deliberate choice reflecting the reality that finance teams resist abandoning spreadsheets. Active pain points (fragmented data, manual reconciliation, slow adoption of FP&A software) map directly to problems Cube is built to solve, while the hiring mix—engineering-heavy with senior engineers leading—signals focus on product depth and reliability rather than sales velocity.
Cube is a financial planning and analysis platform serving FP&A, budgeting, forecasting, and headcount planning use cases. The product centers on unifying fragmented financial data and enabling planning workflows across multiple interfaces—Excel, Google Sheets, web, and chat. The company operates in the mid-market segment, competing against entrenched players by emphasizing ease of adoption and compatibility with existing tools finance teams already use. With 51–200 employees headquartered in New York and hiring across the US, Colombia, Canada, and Brazil, Cube is scaling engineering and sales capacity in parallel.
Backend: Python, Django, PostgreSQL, MySQL on AWS (RDS, SQS, IAM, VPC). Frontend/integrations: Excel, Google Sheets, Salesforce. Observability: Datadog. Data tools: Cube.js, ClickHouse, Redis. Competitive analysis: Anaplan, Adaptive Insights, OneStream, Planful, Hyperion.
Headquartered in New York, New York. Actively hiring in the United States, Colombia, Canada, and Brazil.
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