Top Tech Jobs & Startup Jobs in Toronto

Lead development, deployment, and monitoring of end-to-end ML/DL/AI solutions. Responsibilities include data extraction, cleaning, modeling, evaluation, production deployment, documentation, and presenting results. Collaborate across teams, build prototypes and POCs, protect IP, and disseminate knowledge externally.

Lead end-to-end delivery of complex, cross-functional Salesforce programs. Maintain multi-team plans, manage dependencies, risks, and SAFe ceremonies. Facilitate stakeholder decisions, own delivery artifacts (RAIDD, dependency maps), and drive continuous improvement using metrics. Apply technical knowledge of integrations, data models, and environment strategies to ensure predictable execution.

Lead a small team and contribute hands-on to design, develop, deploy, and iterate AML and crypto risk detection machine learning models. Own technical roadmap, collaborate with Product and Engineering, ensure model quality, explainability, documentation, and governance, and drive production performance and outcomes across the model lifecycle.

Lead and grow a portfolio of large financial institution clients to retain and expand revenue. Develop account plans, build pipelines, negotiate deals, run QBRs, coordinate cross-functional teams, deliver executive presentations, and ensure timely reporting and customer-first delivery.

Manage and grow technology and operational relationships with key North American accounts. Serve as primary customer contact, resolve technical/operational issues, drive account planning, support product and technology implementations, improve operational performance, and communicate customer feedback to internal teams. Collaborate cross-functionally and provide occasional off-hours support. Hybrid role based in office ~3 days/week.

Lead and coordinate multiple marketing and program management engagements, define scope, timelines, budgets, and risks, deliver client-facing recommendations, manage stakeholders and teams, monitor performance, and mentor junior consultants to drive measurable business value.

Lead a global function to detect, respond to, and learn from payment fraud incidents. Build fraud attack response, intelligence, and governance capabilities; run incident command and post-incident reviews; embed insights into product, security, and network controls; and scale a follow-the-sun operating model while leading geographically distributed teams and influencing executive governance.

Lead product management for Account Protection within Mastercard Identity, supporting roadmap, requirements, and commercialization of API- and data-driven solutions to detect and mitigate account takeover, synthetic identity, and mule activity. Partner with engineering, data science, privacy, and commercial teams; engage customers for validation; define data signals; support launches, pricing, and regional adoption; and drive innovation across onboarding, monitoring, recovery, and investigation phases.

Lead globally distributed SRE/application operations teams supporting Java applications across on-prem and Azure, driving 24/7 support, incident management, observability, security/compliance (PCI-DSS, SOC 2), audits, disaster recovery exercises, documentation, and operational continuous improvement while partnering with stakeholders.

Lead planning and execution of integrated B2B campaigns for data & analytics audiences. Develop executive-level content (thought leadership, whitepapers), translate complex solutions into clear messaging, collaborate cross-functionally, manage multi-channel campaign delivery, and measure and optimize performance to drive engagement and pipeline.