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Mia Goulart Mia Goulart
Published on August 28, 2026

15 Large Software Companies in Toronto to Know

Toronto’s major software companies often come with perks like competitive salaries and upward mobility. These are the ones to watch.

Mia Goulart Mia Goulart
Updated on September 09, 2026

23 Multinational Companies in Toronto to Know

From proptech to edtech, these multinational companies put the city on the map of major economic centers in North America.

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Ashley Brownridge Ashley Brownridge
Updated on October 07, 2026

40 Companies in Toronto to Know

These companies are helping fuel Toronto’s growing business scene.

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Margo Steines Margo Steines
Updated on September 09, 2026

19 AI Companies in Toronto to Know

These companies are investing in emerging AI technologies across industries like hardware, logistics, consulting and more.

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Margo Steines Margo Steines
Updated on September 16, 2026

27 Software Companies in Toronto to Know

As a tech epicenter, Toronto has drawn substantial talent to the Canadian software industry.

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Provide technical support to MongoDB customers by diagnosing complex architecture, performance, recovery, security, and deployment issues. Advise customers on operating MongoDB at scale, communicate solutions clearly, advocate for customer needs with product and development teams, and contribute to internal support-tool development. The role requires strong troubleshooting, systems, database, networking, cloud, communication, teamwork, and continuous-learning skills.
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Develop and execute product-led growth, lifecycle marketing, and technical audience programs for Voyage AI. Drive awareness, onboarding, activation, adoption, expansion, and continued usage through campaigns, content, experimentation, segmentation, and emerging channels. Partner cross-functionally with Product, Analytics, Data Science, Product Marketing, and Builder Relations. Analyze funnel and product adoption metrics, identify growth opportunities, optimize customer experiences, and create data-driven strategies for developer and AI-focused audiences.
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Leads a distributed cloud support team as a hands-on technical player-coach. Responsibilities include resolving complex customer issues, managing escalations and incidents, monitoring support quality and queue health, mentoring engineers, improving processes, creating technical documentation and training, and coordinating with Engineering, Product, Security, Legal, Billing, and global support teams.