Top Tech Jobs & Startup Jobs in Toronto

Build and maintain data migration pipelines for complex legal and corporate datasets. Lead client onboarding, write SQL and MongoDB migration scripts, validate large-scale records, investigate data anomalies, and improve migration tooling. Contribute to backend and full-stack product features, platform performance, AI-driven data integration, and ETL workflows while owning deliverables from problem identification through deployment.

Source and screen candidates, build diverse talent pipelines, coordinate interviews across time zones, manage ATS data and hiring workflows in Rippling, support offers and reference checks, track recruiting metrics, improve sourcing through AI tools, and create candidate communications and employer-brand materials.

Develop and maintain scalable full-stack software for an enterprise governance platform. Responsibilities include architecture, system design, AI-assisted development, performance optimization, security, testing, code reviews, technical problem-solving, process improvement, evaluation of LLM and automated-testing technologies, and mentoring engineers. The role requires production AI experience, MEAN stack expertise, cloud infrastructure knowledge, and collaboration with product and design teams.

Own product direction and roadmap priorities for B2B SaaS governance software. Conduct customer discovery, define requirements and user stories, partner with engineering and design, make product and commercial decisions, support launches, and identify opportunities to apply AI and emerging technologies to customer workflows.