Top Tech Jobs & Startup Jobs in Toronto

The Executive Assistant manages executives' calendars, coordinates events, audits budgets, processes invoices, and supports communication efforts, ensuring efficient operations.

The role involves defining and implementing product strategies for investment products, managing P&L, conducting market research, and improving customer experiences. It includes collaborating with partners, analyzing risks, and optimizing product performance while leading vendor relationships and regulatory compliance.

Lead QA efforts in technology projects, ensuring test plans and strategies are developed, executed, and maintained while coordinating with cross-functional teams to improve software quality and performance.

Lead quality assurance efforts, design test plans, manage QA teams, and ensure the quality of banking technology products through comprehensive testing and defect management.

The M365 Copilot Operations Specialist oversees the operational aspects of Microsoft 365 Copilot services, manages policy compliance, supports user experience, and manages Copilot licensing operations.

As a Manager of Credit Risk Strategy Oversight, you will provide risk analytics and oversight for Canadian Retail lending, assessing proposals, monitoring portfolio performance, and enhancing credit decision-making.

The Director, Managed Solutions Business Development leads the national adoption of investment solutions by educating advisors, improving productivity, and implementing scalable practices. They consult on portfolio construction and advisor economics while influencing stakeholders and ensuring compliance and governance standards are met.

The Vice President oversees non-financial risk management for Capital Markets, providing risk advisory, analysis, and stakeholder engagement to strengthen risk controls across operations.

The Senior Cloud Architect will design and implement cloud solutions, drive DevOps culture, and manage short to medium-term cloud initiatives focusing on technology and application architecture.

The AI Engineer will design and develop enterprise-grade AI solutions, focusing on multi-agent workflows, integrating LLMs, and establishing observability for AI systems.