Top Tech Jobs & Startup Jobs in Toronto

Lead end-to-end GL month-end close for complex accounts, prepare and review reconciliations, apply US GAAP (e.g., ASC 842/360/350), support external audit, partner cross-functionally, and drive process improvement and AI/automation adoption to scale accounting operations.

The Customer Success Manager will support clients in improving their operations using the IoT platform by developing customized success plans and fostering long-term relationships.

The role involves helping modernize industries through IoT solutions, engaging with clients, managing implementations, and driving tech adoption. Significant pre-sales experience is required, coupled with a strong technical background in hardware and cloud applications.

The Major Account Executive will drive customer engagement from prospecting to closing, build relationships, and manage large, complex sales with a focus on sustainability and technology solutions.

Own vision and roadmap for core support tools. Lead discovery and user research, draft PRDs and wireframes, oversee builds with engineering and AI/data teams, manage launches and change management, track KPIs and adoption, and iterate to drive GTM impact and support experience.

As a Staff Machine Learning Engineer, you'll lead AI initiatives using large-scale data, optimize ML models for edge devices, and collaborate with cross-functional teams.

Participants in the Global Operations Rotational Program will engage in leadership development, working in various operational roles while building expertise and contributing to business growth.

Lead the ABM & Field Marketing team to drive enterprise account strategies, enhance executive engagement, and improve revenue while aligning closely with Enterprise Sales leadership.

As a Sr. QA Analyst, you'll ensure quality across deal lifecycle processes, analyze data for improvement, and collaborate with teams to enhance operations.

Lead teams in building end-to-end AI products focused on computer vision and sensor data. Oversee model lifecycle, data management, and deployment. Drive innovation in AI while fostering team development and ensuring customer success.