Jiffy.com sells blank imprintable clothing online, running a Ruby on Rails, GraphQL and React storefront on Kubernetes with Codex and Cursor in the engineering workflow. Job posts point to a push into direct-to-film printing quality across a distributed network of third-party print shops, while an AI-native support motion and automated QA runbooks aim to scale service without adding headcount. Hiring is accelerating and skews senior, led by engineering.
Jiffy.com is a privately held online reseller of blank apparel intended for printing and decoration, serving creators, makers and small businesses. The company employs 51–200 people, is registered in Canada and currently hires in the United States. Its operations combine an e-commerce platform with print fulfillment through partner print shops, supported by a customer service team using Zendesk. Marketing runs on Klaviyo, Braze and Iterable alongside Meta and Pinterest advertising, with analytics in Snowflake, BigQuery, Redshift, Tableau and Power BI.
Jiffy.com builds on Ruby on Rails, GraphQL, React and Kubernetes, tests with RSpec, Vitest and Playwright, and uses Snowflake, BigQuery, Tableau and Power BI for data alongside Klaviyo and Braze for marketing.
Yes. Engineering leads Jiffy.com's accelerating hiring, mostly at senior level, with additional roles in marketing, product, support and operations, all based in the United States.
Current initiatives include internal AI tooling, automating QA and ops runbooks, a product quality program for direct-to-film printing, an AI-native support motion, and lifecycle and paid media marketing plans.
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Jiffy.com'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.
