Top Tech Jobs & Startup Jobs in Toronto

As a Software Engineering Manager, you will lead multiple Agile teams, oversee technical design, ensure quality software delivery, and mentor engineers while driving an AI-first culture in development practices.

Design, build, test and maintain scalable Java/Spring Boot services. Collaborate with product and teams to define requirements, write clean code, implement RESTful APIs, use TDD, automate tasks, monitor performance, debug, review code, and ensure systems remain up-to-date and production-ready.

Design and govern the end-to-end Product-to-Cash Salesforce architecture (quoting through revenue recognition). Coach engineers, produce HLD/LLD, manage roadmaps, build POCs, architect billing platforms, govern integrations, apply AI-first solutions (Agentforce/Claude), and ensure scalability, security, and alignment with enterprise architecture.

Design, build, and maintain scalable AI platform infrastructure and services. Develop RESTful APIs, implement CI/CD for model deployment, ensure observability and container security, use generative AI tools in development, collaborate across teams, apply TDD and monitoring to deliver reliable, high-performance AI-enabled software.

Build, deploy, and support AI agents and intelligent workflows on Microsoft Azure and other enterprise AI platforms. Design orchestration, integrate LLMs, implement APIs and RAG/vector DBs, ensure responsible-AI guardrails, collaborate across product and operations, and monitor production AI workflows.

Own the data platform product portfolio, prioritize datasets and capabilities, define schemas and governance, partner with engineering and analytics, enable trusted consumable data, run discovery with domain experts, track data health and adoption, and drive cross-team alignment to support downstream products and analytics.

Own reliability, observability, and security for AI/ML platforms (data processing, workspaces, labeling, model serving). Build IaC and automation, define SLOs/error budgets, run incident response and DR exercises, implement security controls, mentor engineers, and optimize cost, capacity, and operational standards across cloud environments.

Review, validate, and enter contract data across the contract lifecycle; ensure accuracy, completeness, and compliance with Legal standards; maintain CLM/CRM records; generate reports and analyze contractual data; identify and escalate discrepancies; collaborate with Legal, Compliance, Sales, and Finance; use approved AI tools and spreadsheets to improve processes and reporting; support documentation and continuous improvement.

Own go-to-market execution and adoption for assigned products: define positioning, lead GTM readiness, run beta/validation programs, enable sales and customer teams, monitor adoption and revenue metrics, support strategic deals, and inform roadmap with customer and competitive intelligence.

Design, build, and maintain Salesforce-based AI Agents (Agentforce) and intelligent automations. Develop integrations, write and test Apex/JavaScript/Python code, create automated tests, troubleshoot issues, produce technical documentation, support DevOps processes, mentor junior engineers, and collaborate with product and business teams to prototype and deliver AI-driven solutions.