Top Tech Jobs & Startup Jobs in Toronto

Lead the architecture and end-to-end delivery of enterprise IVR, routing, conversational AI, generative AI, and agentic virtual agent solutions. Responsibilities include developing bots, designing integrations, optimizing speech experiences, leading Agile delivery, establishing testing and deployment practices, advising customers, delivering training, and providing technical leadership. The role requires extensive experience with Dialogflow, Lex, enterprise APIs, architecture, software development, and customer-facing technical consulting.

Leads sales strategy and customer engagement for Genesys AI and Experience Orchestration solutions. Partners with account executives, senior clients, and cross-functional teams to develop pipeline, shape opportunities, run customer workshops, coordinate AI proofs of concept, and support positioning, proposals, pricing, and presentations. Acts as a subject matter expert, develops territory and account strategies, enables sales teams, and influences AI-powered customer experience adoption.

Leads the Business Development organization across Canada and strategic accounts, owning pipeline-generation strategy, forecasting, conversion performance, and regional growth. Responsibilities include coaching and developing BDRs, creating enablement and promotion programs, partnering with Sales and Marketing on go-to-market strategies, analyzing pipeline data, scaling repeatable processes, and promoting CRM, sales engagement, and AI-enabled prospecting tools.

Lead coordination and operational rhythm for an engineering platform portfolio. Ensure cross-team alignment, manage dependencies and risks, maintain Jira/Confluence tracking, produce executive communications and dashboards, improve documentation and automation, and streamline intake and reporting to accelerate delivery and reduce friction.

Lead end-to-end delivery of complex technical programs for a cloud platform by aligning engineering, product, and analytics teams. Drive planning, risk mitigation, resource optimization, and data-driven performance analysis. Implement scalable program frameworks, communicate status to senior stakeholders, and influence technical and operational strategy to achieve measurable business outcomes.

Lead the design and delivery of Agentic AI solutions to enhance customer experience and operational efficiency, focusing on enterprise-wide AI transformation.