Remote talent acquisition at nearshore rates with AI-powered candidate matching
Typescouts staffs remote roles via nearshore and offshore recruitment, positioning cost arbitrage as the primary value driver. The tech stack reveals a recruitment-operations hybrid: HubSpot and Pipedrive for pipeline management, Ashby/Greenhouse/Lever for ATS, plus Python/TensorFlow/PyTorch suggesting in-house candidate-matching or quality-scoring models. Active projects around AI-powered workflow integration and discovery-call automation indicate they're moving beyond manual matching toward algorithmic candidate-sourcing—a shift from pure labor arbitrage to automation-assisted placement.
Typescouts is a Toronto-based remote recruitment firm connecting companies with software engineers, product managers, and operational staff across Latin America and Canada. The business model centers on filling roles at substantially lower costs than US-based hiring. The team operates across sales, engineering, HR, and finance, with engineering capacity concentrated on internal tooling—specifically integrations between HubSpot and Chargebee, KPI dashboards, and candidate outreach automation. The company is actively addressing lead generation and operational scaling as near-term priorities.
Typescouts sources candidates in Argentina, Mexico, Brazil, and Canada, with primary focus on nearshore and offshore markets in Latin America.
Core tools: HubSpot and Pipedrive (CRM/pipeline), Ashby/Greenhouse/Lever (ATS), LinkedIn Recruiter and Apollo (sourcing). Backend: Python, TensorFlow, PyTorch for candidate matching. Operations: Chargebee (billing), Notion, Slack, Google Sheets.
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