Top Tech Jobs & Startup Jobs in Toronto

Oversee end-to-end onboarding for new SaaS customers by gathering requirements, configuring products, managing implementation scope and risks, facilitating training, creating documentation, resolving issues, and coordinating with sales, product, customer success, and technical support teams. The role ensures a smooth transition from sales to adoption while improving implementation processes and customer satisfaction.

Provides front-line technical support to public sector software customers through phone, video, email, and chat. Troubleshoots and documents software issues in Zendesk, follows escalation procedures, contributes to knowledge-base content, and collaborates with senior analysts. The role requires building product expertise, meeting customer satisfaction and SLA targets, and supporting after-hours, holiday, and outage coverage.

Own partner marketing execution for ERP and consultant partners across content, events, digital campaigns, sales enablement, webinars, and field marketing. Build partner-specific messaging and assets, coordinate deliverables across Marketing and Alliances teams, manage multiple workstreams, and report on partner activity, performance, and pipeline influence. The role is hybrid, requiring three days per week in the Oakville, Ontario office.

Build, execute, and maintain CI/CD and service pipelines; support Azure deployments, source-control workflows, SQL database changes, and application delivery. Collaborate with engineering and QA teams on build and deployment tasks, participate in SAFe Agile ceremonies, and incrementally improve infrastructure and delivery processes using automation and AI coding tools.

Leads revenue operations analytics across Sales and Customer Success, owning forecasting, reporting, compensation, territory and capacity planning, GTM intelligence, data quality, and executive reporting. Manages four analysts, maintains metric definitions, supports Salesforce-based reporting, and informs planning and revenue decisions for senior leadership.

Own go-to-market intelligence for public sector sales, including account and contact data quality, intent and propensity scoring models, ICP segmentation, competitive intelligence, and FOIA-derived insights. Translate analysis into targeting rules, prioritized account lists, territory views, and outbound workflows. Manage enrichment vendors and data ingestion, validate models against sales outcomes, and partner with Sales, Business Development, and Marketing to operationalize insights.

Build and operate governed, reproducible AWS-based data pipelines and analytical products. Stand up managed AWS foundation, deliver top-priority data products, support product teams to follow architecture, and apply disciplined reliability and governance while using low-code only when appropriate.

Design and implement a governed AWS data foundation: reference architecture, layered (medallion) data models, governance (PII, classification, lineage, residency), reusable engineering patterns for ingestion/transform/serve, loose coupling to operational systems, and occasionally build data products hands-on to accelerate delivery.

Lead client onboarding and configuration of SaaS grants products, gather requirements, perform basic project management, configure systems and reports, train users, resolve issues, and collaborate cross-functionally to ensure successful adoption.

Lead development of agentic AI features and shared platform components for a multi-tenant SaaS finance platform. Design LLM orchestration, CI/CD, deployment pipelines, observability, scalable background processing, ingestion and search systems, and PostgreSQL optimization. Drive technical vision, mentor engineers, and deliver production-grade, secure, and observable AI-first solutions end-to-end.