Personal finance app with budgeting, savings, and investment tools
Emma is a consumer fintech app built on a modern polyglot stack (TypeScript, React Native, Node.js, GCP) handling transaction data at scale across Kubernetes and CockroachDB. The company is hiring aggressively across engineering and marketing in equal measure—reflecting a dual focus on backend reliability (scaling transaction processing, high availability) and user acquisition (paid campaigns across Meta, TikTok, Apple Search Ads, Google App Campaigns). Active work on affiliate program scaling and partner pipeline suggests growth shifting toward partnership-driven channels.
Emma is a UK-based fintech app launched in 2017 that helps users manage money through budgeting, savings, and investment tools. The product operates as a consumer subscription model with a focus on paid user acquisition. The technology stack spans mobile (React Native), backend services (Node.js, gRPC), and data infrastructure (BigQuery, Vitess, CockroachDB, MySQL) on Google Cloud. Current priorities include scaling backend transaction processing, expanding paid acquisition campaigns, and building out an affiliate and partner channel ecosystem. The 11–50 person team is concentrated in London.
Emma uses TypeScript and JavaScript across frontend (React, React Native, Next.js) and backend (Node.js), with gRPC for service communication. Data layer runs on CockroachDB, MySQL, Vitess, and BigQuery on Google Cloud Platform (Kubernetes, Terraform), using Redis for caching and Pub/Sub for events.
Key projects include scaling the affiliate program, expanding paid acquisition campaigns (Meta, TikTok, Apple Search Ads, Google App Campaigns), partner promotional campaigns, an employee benefits platform, and backend scaling to handle transaction data and maintain high availability.
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Emma - we are hiring!'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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