Stash runs a consumer personal-finance app for investing, saving and banking, built on Go, Ruby on Rails, CockroachDB and PostgreSQL on AWS with Terraform and Datadog. Hiring is accelerating and marketing-dominated, with a creative toolkit of Figma, Adobe suite, CapCut and AppLovin pointing to a paid-acquisition push. Repeated pain points around churn, retention and activation show the focus has shifted to keeping and converting users.
Stash is a New York-based, privately held fintech founded in 2015 that offers a mobile app for investing, budgeting, saving and retirement planning. It serves everyday American consumers, pairing investment accounts with banking services and a debit card stock-rewards program. The company employs 201–500 people and is currently recruiting in Canada. Its analytics stack combines Mixpanel, Looker, dbt and Redshift, while finance runs on NetSuite.
Stash uses Go, Ruby on Rails, Python and Node.js on the backend, CockroachDB and PostgreSQL for data, AWS with Terraform, Datadog for monitoring, React and TypeScript on the frontend, and Mixpanel, Looker, dbt and Redshift for analytics.
Yes. Marketing is the dominant hiring function at Stash, focused on paid social, copywriting and growth, with smaller hiring in product and data. Overall hiring velocity is accelerating, mostly at senior level.
Stash is building a churn prevention program, in-product growth loops, a paid social acquisition engine, conversion work across landing pages and referrals, and improving data mart job reliability.
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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.
