Top Tech Jobs & Startup Jobs in Toronto

Design, build, and scale data-driven platforms and systems, focusing on backend and frontend engineering, integrations, and AI capabilities.

The Operations Manager will oversee administrative operations, support talent acquisition, manage vendor relationships, and ensure efficient office functioning while aligning with company goals.

The Data Architect will lead the design of a Customer Data Mart, ensuring scalable solutions, implementing data architectures, and mentoring teams. Responsibilities include defining data modeling standards and contributing to data governance initiatives.

The Tech Lead/Solution Architect will design and deliver cloud solutions, lead architecture reviews, coordinate teams, and engage with clients to execute data and application projects.

The Product Manager will lead AI-driven automation initiatives, defining and delivering intelligent systems to enhance decision-making and reduce manual efforts, while ensuring compliance and governance in AI implementation.

The Account Manager will manage client relationships, coordinate internal teams, monitor account health, and drive account growth strategies for strategic clients.

Design, develop, and optimize big data solutions using Databricks, Apache Spark, and cloud platforms. Collaborate with teams to ensure high-performance data architectures.

Lead AI and data initiatives, define strategy for data management, oversee evaluation frameworks, and align engineering and product teams for successful delivery.

The Technical Lead will design and implement backend systems, mentor engineers, optimize performance, and manage cloud architecture while ensuring scalable and reliable data processing.

The Senior AI Engineer will design and integrate AI features into backend systems, optimize models, and collaborate with teams for deployment and architecture best practices.