Top Tech Jobs & Startup Jobs in Toronto

The Software Sales Executive will sell Identity Security Solutions in the Public Sector, exceed revenue goals, develop business plans, and provide tailored customer service while collaborating with partners and internal teams.

Lead iOS development initiatives, drive architectural evolution, mentor teammates, and collaborate with cross-functional teams to enhance music experiences.

As a Senior Software Engineer in the Vehicle Diagnostics team, you will design and develop vehicle telematics data products, lead technical discussions, collaborate with teams, and influence platform roadmaps.

The GTM Strategy & Operations Lead will drive strategy, planning, and execution to fuel growth in Canada, collaborating with various teams to capture opportunities and expand market share.

The Staff Software Engineer will develop backend solutions primarily in Java, collaborate with teams to launch embedded finance products, and leverage data to optimize user experiences while mentoring peers.

As a Strategic Sales Engineer, you'll provide technical leadership and guidance to sales teams, support pre-sales activities, and develop integrated technology solutions to meet customer needs. You'll also present solutions to customers and manage sales opportunities.

The Regional Director will oversee sales growth in Northern California, manage a team, develop strategies, and foster partnerships to drive revenue.

As SVP of Engineering, you will lead Intellistack's technical direction, advancing data architecture, fostering AI innovation, and guiding diverse engineering teams to align with business outcomes.

As a Global Mobility Coordinator, you will manage logistical tasks for employee relocations, enhance processes, support operational needs, and coordinate with stakeholders.

Manage JDE Financial Systems, ensure issue resolution, conduct business process analysis, and oversee project assignments in JD Edwards ERP implementation.

As a Senior Deep Learning Scientist at Block, you'll lead advanced machine learning projects focusing on deep learning and reinforcement learning, collaborate across teams, and innovate risk management solutions.