Top Tech Jobs & Startup Jobs in Toronto

Lead strategy and operating model for an internal learning content studio; own end-to-end production of video, microlearning, and emerging formats, integrate AI, set standards and governance, manage budgets, vendors and stakeholders, build a multidisciplinary team, and measure and optimize content impact across the enterprise.

As a Principal Software Developer, you will lead the technical direction and implementation of Autodesk's Viewer platform, drive architectural practices, and mentor engineers across teams.

The Senior Software Developer will design and build scalable APIs and distributed systems, improve operational efficiency, and mentor other engineers, focusing on automation and data infrastructure.

The Engineering Manager will lead the development of a scalable Search Platform, mentor teams, manage business outcomes, and enhance engineering efficiency while ensuring high-quality software delivery.

The Operations Manager will enhance product team efficiency by reducing friction, implementing AI solutions, and improving workflows and communication across teams.

Manage and optimize recruiting workflows, reporting, and systems to enable scalable hiring. Analyze operational data, design automations and integrations, resolve system and data issues, maintain governance and documentation, and lead cross-functional projects with Recruiting, People Systems, Finance, Legal, and IT to improve recruiting efficiency and data integrity.

Design, develop, and maintain finance dashboards, reports, and apps (Power BI) for corporate and divisional finance partners. Translate requirements into interactive visualizations, conduct user research, promote design standards, prioritize requests, and communicate findings to business and technical stakeholders.

The Senior Financial Analyst will support budget planning, forecasting, management reporting, and financial analysis in collaboration with stakeholders.

Design, implement, test and maintain scalable, highly available REST APIs and plugin architectures for an AI assistant. Produce high-quality code with unit tests and TDD, collaborate with architects and operations, troubleshoot issues, mentor peers, and optimize for scalability, security, and performance.

Design, build, and maintain automated test suites, evaluation scenarios, and CI/CD quality gates for AI-powered applications. Test APIs, validate ML model outputs, create measurable evaluation rubrics, mentor teams, and contribute to shared QA frameworks and codebases.