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Applied Systems

Montréal
Total Offices: 2
3,116 Total Employees
Year Founded: 1983

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Ashley Brownridge Ashley Brownridge
Published on August 31, 2026

10 Companies Hiring AI Engineers in Toronto

Companies in the Greater Toronto Area are hiring engineering talent to build AI-powered solutions for a variety of functions.

Mia Goulart Mia Goulart
Updated on June 04, 2026

14 Companies Hiring Marketing Roles in Toronto

These companies are investing in marketing talent to help shape their stories.

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Margo Steines Margo Steines
Updated on March 04, 2026

11 Top Data Analytics Companies in Toronto

These data analytics companies are supporting growth across Toronto’s business sectors by providing insights into their operations.

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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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Jeff Rumage Jeff Rumage
Updated on May 20, 2026

21 IT Companies in Toronto to Know

Canada’s biggest city has attracted some of the top names in IT.

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One Month AgoSaved
Remote or Hybrid
4 Locations
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Lead product marketing for the agency segment, owning positioning, GTM, launches, competitive intelligence, and performance metrics. Manage and grow a PMM team, partner with Product, Sales, and Field Marketing to drive adoption and revenue, and champion AI-forward tooling and data-driven GTM across the Applied Epic and EZLynx portfolio.
One Month AgoSaved
Remote or Hybrid
3 Locations
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Contribute to modernization and technical-debt reduction efforts, implement and test features, participate in code reviews, follow CI/CD and Agile practices, and collaborate with senior engineers while learning cloud and security practices.
11 Days AgoSaved
Remote or Hybrid
2 Locations
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Lead the architecture, development, and scaling of data pipelines and infrastructure for a customer-facing Data Lake platform. Build ETL and ingestion systems using GCP, Debezium, Pub/Sub, Dataflow, BigQuery, Python, Golang, and SQL. Establish engineering standards, deliver strategic projects, mentor engineers, influence cross-functional technical decisions, optimize data services, and shape the platform roadmap.