Top Tech Jobs & Startup Jobs in Toronto

11 Days AgoSaved
Remote
Canada
Senior level
Senior level
Information Technology • Database • Consulting
Manage the full CRM marketing lifecycle, including strategy, audience segmentation, campaign build and deployment across email, SMS, and push channels. Optimize lifecycle campaigns through personalization, machine learning, predictive modeling, A/B testing, analytics, and automation. Coordinate with marketing, data, MarTech, product, agencies, and vendors while ensuring campaign quality, performance measurement, and continuous improvement.
Top Skills: Adobe Customer Journey AnalyticsAdobe Experience PlatformAdobe Journey OptimizerAttentiveEpsilon PcmHTMLMachine LearningMovable InkPhotoshopPredictive Modeling
12 Days AgoSaved
Remote
Canada
Senior level
Senior level
Information Technology • Database • Consulting
Coordinate intake, access management, governance, and issue escalation across the organization’s MarTech platforms. Track service-level agreements, request status, adoption, usage, and open issues; maintain governance records and standards; support access recertification, governance forums, UAT, release tracking, and stakeholder communications. The role partners with Product Management, Solutions Architecture, and MarTech Strategy teams to improve operational consistency, transparency, and platform scalability.
Top Skills: Adobe Experience CloudAdobe Experience Manager (Aem)Adobe Experience PlatformAdobe Experience Platform (Aep)Adobe Journey Optimizer (Ajo)Customer Journey Analytics (Cja)JIRAExcelMicrosoft PowerpointServicenowWorkfront
12 Days AgoSaved
Remote
Canada
Senior level
Senior level
Information Technology • Database • Consulting
Leads end-to-end machine learning delivery for insurance transformation programs, including feature engineering, model development, validation, tuning, explainability, governance, and production readiness. Translates business objectives into analytics use cases and delivery plans, manages client relationships, coordinates distributed teams, and supports architecture, UAT, MLOps, monitoring, and deployment discussions. Requires strong Python, statistical modeling, SQL, large-scale data, stakeholder communication, and production ML experience.
Top Skills: Ci/CdCloud Data PlatformsCloud Machine Learning PlatformsFeature StoresLightgbmMlopsPandasPythonScikit-LearnSQLXgboost
27 Days AgoSaved
Remote
Canada
Senior level
Senior level
Information Technology • Database • Consulting
Leads the full CRM marketing lifecycle, including campaign strategy, audience segmentation, personalization, build, QA, deployment, testing, measurement, and optimization across email, SMS, and push channels. Uses analytics, automation, machine learning, and predictive modeling to improve engagement, conversion, and fan lifetime value. Collaborates with Marketing, Data & Analytics, MarTech, Product Marketing, agencies, and vendors to deliver large-scale campaigns and continuous performance improvements.
Top Skills: Adobe Customer Journey Analytics (Cja)Adobe Experience Platform (Aep)Adobe Journey Optimizer (Ajo)AttentiveEmail Marketing AutomationEpsilon PcmHTMLMachine LearningMovable InkPhotoshopPredictive ModelingSms
One Month AgoSaved
Remote
Canada
Senior level
Senior level
Information Technology • Database • Consulting
Owns the CRM marketing lifecycle, including strategy, audience segmentation, campaign production, QA, deployment, testing, performance measurement, and optimization across email, SMS, and push channels. The role develops personalized lifecycle campaigns, uses analytics and automation to improve fan lifetime value, extracts actionable insights, and collaborates with marketing, analytics, MarTech, product marketing, agencies, and vendors.
Top Skills: Adobe Experience PlatformAdobe Journey OptimizerAttentiveCustomer Journey AnalyticsEpsilon PcmHTMLMachine LearningMovable InkPhotoshopPredictive Modeling
Reposted One Month AgoSaved
Remote
Canada
Senior level
Senior level
Information Technology • Database • Consulting
Design, develop, and optimize complex Oracle SQL queries, views, stored procedures, and packages to power marketing analytics. Support audience selection, segmentation, suppression logic, and campaign tracking. Collaborate with marketing, analytics, and data science teams; provide production support, troubleshooting, root-cause analysis, and ensure data accuracy and performance across large datasets.
Top Skills: OracleOracle SqlPackagesRelational DatabasesSQLStored ProceduresViews
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