Top Tech Jobs & Startup Jobs in Toronto

Design, implement, and maintain scalable backend systems for campaign creation, targeting, content assembly, scheduling, and handoff to delivery. Ensure reliability, observability, and operational excellence; own features end-to-end, mentor junior engineers, and drive extensible, fault-tolerant distributed architectures.

Lead a team of senior product managers owning data ingestion, normalization, event processing, workflows, third-party integrations, and data governance. Define unified roadmap, partner closely with engineering, manage vendor relationships, launch integrations, and represent platform needs to Sales, Partnerships, and Customer Experience while prioritizing customer outcomes.

Lead the evolution of the recommendations engine system into a scalable distributed architecture, ensuring production stability and performance while mentoring engineers and collaborating with ML teams.

Own, build, and optimize Spark-based production data pipelines and ML data lake on GCP Dataproc to support recommender systems. Collaborate with ML engineers, resolve performance bottlenecks, and deliver scalable, reliable data products for AI-driven personalization.

The Senior Data Engineer will design and maintain streaming data pipelines, develop analytical databases, and ensure data system reliability while collaborating with teams across the organization.

The Product Security Engineer will implement security testing, manage vulnerabilities in codebases, and integrate security practices into CI/CD pipelines while collaborating with engineering teams.