Top Tech Jobs & Startup Jobs in Toronto

Develop scalable, service-oriented web applications across the full software lifecycle. Design maintainable architectures, write clean and testable code, conduct peer reviews, troubleshoot complex issues, optimize performance, and collaborate with cross-functional teams. The role contributes to design, implementation, testing, deployment, and continuous improvement while supporting team members and applying modern engineering practices.

Manages the Business Identity product portfolio from discovery through launch and continuous improvement. Defines technical requirements, including APIs, data, and user experience considerations; owns roadmap priorities; and leads cross-functional execution with engineering, data science, legal, commercialization, and customer teams. Uses market research, customer feedback, analytics, and competitive insights to guide product strategy and deliver secure, differentiated identity solutions. The role also participates in agile planning and may require up to 15% travel.

Leads data engineering for cyber analytics by designing pipelines, ETL processes, storage, graph databases, and data models. Partners with data scientists and technology teams to integrate ML and AI solutions, manage production deployments, and build cohesive analytical datasets. Oversees and develops a team of data engineers, manages priorities, and collaborates with technical and business stakeholders.

Design, launch, and improve Mastercard’s Responsible AI governance framework. The role integrates governance processes with risk-control tools, partners with business, technical, legal, regulatory, and risk teams, evaluates operations data and stakeholder feedback, manages process-improvement roadmaps, communicates framework changes to leadership, and supports audits. The position requires strong stakeholder management, communication, negotiation, analytical, change-management, and organizational skills, along with knowledge of Responsible AI and AI technologies.

Leads product management for identity and token intelligence solutions that prevent fraud in digital payment ecosystems. Responsibilities include identifying customer and fraud use cases, defining product features, prioritizing roadmaps, analyzing product and model performance, coordinating with engineering and data science, and supporting commercialization through marketing and sales enablement.

Leads end-to-end delivery of complex technical programs across cloud, infrastructure, platform, security, and engineering domains. Owns roadmaps, capacity planning, governance, milestones, dependencies, risks, executive reporting, Jira administration, and release readiness. Partners with Engineering, Product, Architecture, Infrastructure, Security, and Operations teams to align priorities and drive delivery. Improves program management processes and serves as the primary contact for strategic initiatives.

Lead a team of cyber threat intelligence analysts researching payment ecosystem threats, cybercrime actors, tactics, techniques, and procedures. Develop actionable intelligence reports, white papers, and strategic insights for technical and business audiences. Manage intelligence deliverables, stakeholder relationships, cross-functional collaboration, competing priorities, and quality standards while informing cybersecurity product decisions.

Supports Mastercard’s global BRAM operations through workflow coordination, case management, reporting, quality assurance, process documentation, merchant monitoring, and stakeholder follow-up. Maintains playbooks, controls, procedures, and training materials; assists with investigations, data validation, dashboards, and AI-enabled monitoring. Identifies data gaps, process trends, and improvement opportunities while supporting governance, escalation routing, testing, and program adoption across Brand Performance initiatives.

Conduct investigations under Mastercard’s BRAM program involving potential illegal activity, brand-damaging conduct, and Standards violations. Review referrals, evidence, customer responses, and case documentation; assess findings and support case closure. Escalate complex matters, manage stakeholder communications, track referrals and metrics, identify trends, and improve case-management processes. The role also supports training, reporting, data integrity, and cross-team initiatives.

Support global product execution for Mastercard Business Intelligence by translating customer needs into requirements and user stories, coordinating with Product, Engineering, UX, and business partners, tracking delivery progress and risks, validating functionality, maintaining documentation, supporting launches, monitoring adoption metrics, and contributing to backlog prioritization and continuous product improvement.