Top Tech Jobs & Startup Jobs in Toronto

Leads the IT team and owns secure, reliable employee technology services, including support, onboarding and offboarding, identity and access, Microsoft 365, endpoints, SaaS governance, vendors, budgets, and IT controls. Administers approved AI platforms and implements AI-enabled IT automation. The role also manages service performance, audits, compliance, infrastructure reliability, licensing, hardware lifecycles, and continual improvement.

Build and operate secure, reliable Azure infrastructure for a SaaS platform. Responsibilities include Terraform-based infrastructure as code, Azure DevOps CI/CD, security and compliance controls, production support, incident response, observability with Datadog, FinOps, automation, self-healing capabilities, and developer enablement. The role also supports cloud governance, troubleshooting distributed systems, root-cause remediation, and infrastructure cost optimization.

Manage the commercial and operational infrastructure for global channel partnerships. Responsibilities include maintaining partner agreements, pricing and discount frameworks, approved vendor status, price books, order booking processes, deal registration, enablement content, partner portal requirements, and channel team onboarding. The role collaborates with RevOps, Legal, Finance, Product, procurement teams, and channel leadership to standardize processes and improve partner operations.

Prospect into assigned territories through calls, emails, LinkedIn messaging, and other outreach methods. Conduct discovery conversations, qualify opportunities, nurture leads, schedule product demonstrations for Account Executives, and meet monthly targets. The role also involves developing messaging, collaborating with sales teams on vertical-based campaigns, using prospecting tools, and providing feedback to improve BDR effectiveness.

Lead execution of an enterprise AI program: govern a portfolio of cross-functional AI initiatives, build org-wide AI enablement and infrastructure, coordinate stakeholders and vendors, report program health to C-suite, and coach departments through AI adoption.

Design, build, and maintain the data warehouse and data lake, schemas, and reliable ETL/ELT pipelines to support AI agents and analytics. Implement data governance, quality checks, lineage, and access controls to meet ISO27001 and SOC2 Type 2. Partner with AI, InfoSec, and product teams to enable agent orchestration, integrate with Microsoft 365/Graph/OAuth, monitor platform health and costs, and support AI program planning and documentation.

Build and maintain FacilityOS's AI agent architecture: RAG pipelines, agent orchestration, integrations with Microsoft 365/Outlook/Teams, secure auth, evaluation harnesses, compliance-ready deployment, and cross-functional enablement for department-owned agents.

Develop, review, and maintain full-stack .NET web applications across the FacilityOS platform. Participate in code reviews, use static analysis tools, troubleshoot staging/production issues, collaborate with engineering and project managers, and research platform improvements.