Osome pairs accountants with software to handle financial admin for small businesses, with particular depth in e-commerce. The hiring shape reveals a sales-led scaling motion: 18 of 32 active roles are in sales, while engineering sits at 3 — indicating the company is prioritizing market expansion and pipeline generation over product velocity. Active projects center on go-to-market expansion into EMEA and Greater China, competitive positioning, and sales operations maturity, all pointing toward a growth-stage shift from founder-led sales to repeatable GTM.
Notable leadership hires: Marketing Director, People Ops Lead
Osome is an online accounting firm that combines human accountants with software to automate bookkeeping and tax compliance for small businesses and e-commerce operators. Founded in 2017, the company operates from Singapore (HQ), with offices in UAE, UK, Hong Kong, and Malaysia, and serves clients across multiple regions. The service model spans company incorporation, ongoing bookkeeping, tax filing, and advisory — covering all industries but with explicit specialization in e-commerce. The team spans 201–500 employees across 25+ nationalities, and the stack reflects a modern web-first approach built on React, Node.js, PostgreSQL, and AWS infrastructure, integrated with Salesforce and HubSpot for CRM and marketing automation.
Frontend: React, TypeScript, JavaScript. Backend: Node.js, Express, Koa. Data: PostgreSQL, AWS RDS. Deployment: AWS Lambda, Docker, CI/CD. CRM/marketing: Salesforce, HubSpot. Analytics: Google Analytics, Hotjar, FullStory.
Sales roles dominate (18 of 32 active), followed by marketing (5), engineering (3), and finance (3). The seniority split includes senior roles (9), mid-level (7), and 6 leadership positions (managers, leads, director). Recent velocity is accelerating.
Philippines, Singapore, United Arab Emirates, China, Hungary, Colombia, Romania, Malaysia, Taiwan, Bulgaria, and Portugal — reflecting both regional hub presence and distributed talent sourcing.
OSOME'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.