Grid offers immediate tax refunds to individual filers, positioning itself between the IRS and the taxpayer. The tech stack—Go, GCP, BigQuery, Firestore, and emerging AI integration (GPT, Claude)—reflects a fintech backend built for transaction processing and rapid data modeling. The organization is engineering-heavy (11 of 16 headcount) with active work on monolith refactoring and an AI architecture update, suggesting the product is moving beyond a simple tax-bridge tool toward broader financial services; pain points around scaling the tax product and monetization indicate they're still proving unit economics at volume.
Grid is a tax-focused fintech serving individual filers in the United States. The product provides early access to tax refunds without waiting for the IRS, targeting working Americans seeking immediate liquidity. The team is based in San Francisco and operates across 16 active roles, predominantly engineering-focused. Current development priorities span both product scaling (paycheck bridge, credit score builder) and infrastructure work (monolith separation, data model refinement). The platform relies on GCP, Firebase, and Firestore for backend services, with Android and iOS clients powered by Kotlin and Swift.
Go, GCP, BigQuery, MySQL, Firebase, Firestore, Pub/Sub, Protocol Buffers for backend; Android (Kotlin, Jetpack Compose) and iOS (Swift, UIKit) for mobile; Datadog for monitoring and GPT/Claude for AI features.
Core projects include a monolith rewrite, AI architecture update, paycheck bridge feature, credit score builder, and scaling user-facing products. Infrastructure work focuses on separating services and improving data models.
Other companies in the same industry, closest in size