Top Tech Jobs & Startup Jobs in Toronto

Design, build, and operate production AI systems and marketing data infrastructure. Develop retrieval pipelines, agent orchestration, CDP integrations, ETL/ELT pipelines, and analytics. Automate workflows with AI, ensure data quality and reliability, partner with stakeholders, ship Python and SQL code, mentor engineers, and drive requirements to production.

Lead development and deployment of production-grade generative AI applications for sales enablement. Build copilots, automated outreach, and voice/chat interfaces; work across model experimentation, app development, and infrastructure; partner with revenue ops, product, and engineering to scale AI features that improve efficiency and personalization across the sales funnel.

Lead and develop a Canada Scaled Customer Success team to drive onboarding, adoption, expansion, and renewals via digital scale programs. Hire and coach CSMs, manage KPIs/OKRs, improve processes and tooling, collaborate cross-functionally, and escalate high-stakes customer moments to ensure measurable customer outcomes.

The Senior Security Engineer I will build and maintain core security infrastructure, collaborate with global teams, mentor junior engineers, and drive security initiatives.

Own and optimize Okta identity infrastructure and Google Workspace, build Workato automations (OWL-IT), support IAM initiatives (RBAC, provisioning, SCIM), act as Tier 3 escalation for identity incidents, ensure StateRAMP/FedRAMP compliance, document runbooks, and collaborate with Security/GRC to strengthen identity security.

Build and ship internal data and AI products to help Product and Engineering teams. Analyze large structured and unstructured datasets, convert analyses into repeatable tools and dashboards, and drive end-to-end projects from scoping to launch and iteration. Use AI-assisted development tools responsibly, translate findings into decision-ready recommendations, and embed feedback loops and documentation for long-term adoption.

Lead backend engineering for AI-powered, real-time in-vehicle experiences. Define architecture and APIs for edge-constrained clients, build orchestration for concurrent agent/voice interactions, ensure reliability, observability, and safety of AI systems, mentor firmware engineers, and ship zero-to-one products.

Lead design and delivery of full-stack, AI-driven products and platform capabilities. Own technical strategy, ship end-to-end features, build scalable data and API systems, mentor engineers, and partner with product and customer teams to turn ambiguous real-world problems into measurable outcomes.

Build and own technically complex, mission-critical full-stack systems and AI-powered products. Define technical strategy, design and ship end-to-end features across backend, frontend, and mobile, and scale data ingestion and APIs. Lead cross-team projects, mentor engineers, drive technical standards, and partner with product, design, and customer teams to deliver measurable impact.