Stash operates a multi-product personal finance platform (investing, banking, financial guidance) built on React/Node.js/TypeScript with heavy modern ML tooling — adopting Snowflake and Fivetran while building AI-driven experimentation, lifecycle marketing, and engineering agents. Active hiring across product, marketing, and data with director-level roles signals a push to scale personalization and experimentation; internal pain points around conversion metrics and data governance suggest the company is working to deepen engagement and operational maturity in a regulated environment.
Stash is a personal finance app enabling retail Americans to invest, earn rewards through a branded debit card, and manage banking and retirement accounts. The product spans three core surfaces: investing (robo-advisor Smart Portfolio), banking (deposit and debit offerings), and financial guidance and budgeting tools. The company operates as a 201–500-person organization headquartered in New York, with all hiring concentrated in the United States. Stash operates in a highly regulated environment and partners with external institutions (e.g., Stride Bank for banking services, Mastercard for card issuance) to deliver compliance and payment rail capabilities.
Stash runs React, Angular, and Vue on the frontend; Node.js and Ruby on backend; TypeScript for type safety; Kubernetes for orchestration; PostgreSQL and Kafka for data pipelines; and AWS infrastructure (SNS, SQS). Analytics and BI layers use Mixpanel and Looker.
Active projects include AI-driven product experiences, a high-performance experimentation engine, attribution measurement, lifecycle marketing automation, engineering agents for logic definition, and evolving B2B employer-facing tools and onboarding flows.
Stash'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 →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.