Point-of-sale financing platform for home improvement and retail merchants
Financeit runs a Canadian point-of-sale lending platform on a Ruby on Rails, Ember.js and PostgreSQL core, with Sidekiq, Redis and Elasticsearch behind it and dbt feeding Looker, Tableau and Power BI. Hiring is accelerating and sales-led, with Pricing and Regional Sales Director searches. Alongside that, security work on SOC detection content and AI threat coverage, plus AWS Bedrock and Gemini in the stack, shows a maturing in-house security and AI capability.
Notable leadership hires: Pricing Director, Regional Sales Director
Financeit is a Toronto-based, privately held financing company founded in 2011. It provides point-of-sale installment financing that merchants offer their customers as monthly payment plans. Its merchant base spans home improvement, recreational vehicle and retail businesses across Canada. The company works with OEMs, distributors and industry associations to reach merchants and offer partner pricing and promotions. It employs between 201 and 500 people.
Financeit builds on Ruby on Rails, Ember.js, TypeScript, PostgreSQL, Redis, Elasticsearch and Sidekiq, with dbt, Looker, Tableau and Power BI for analytics and Salesforce, HubSpot and Pardot for go-to-market.
Yes. Hiring is accelerating in Canada, led by sales, with additional roles in data, product, engineering, finance and security, including Pricing Director and Regional Sales Director positions.
Current initiatives include partner onboarding and training programs, scaling its sales financing platform, SOC detection content, AI threat detection coverage and direct-to-consumer product growth.
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Financeit'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.