Top Tech Jobs & Startup Jobs in Toronto

Lead a backend engineering team owning the creative pipeline for high-throughput, low-latency adtech services. Drive roadmap execution, run agile rituals, mentor engineers, participate in architecture and code reviews, handle incidents and on-call, coordinate cross-team dependencies, and support hiring and onboarding.

Create and publish 3–4 short-form videos weekly across TikTok, Instagram, YouTube Shorts, LinkedIn, and other social channels. Responsibilities include trend monitoring, scripting, filming, editing, on-camera hosting, directing employees, launching TikTok, translating AdTech concepts for broad audiences, and analyzing retention and engagement metrics to improve content performance.

Support technical roadmaps for vertical-specific advertising solutions, including targeting, measurement, testing, and maintenance. Analyze datasets to troubleshoot reporting and pipeline issues, design experiments, develop analytics proof-of-concepts, track performance OKRs, and conduct campaign reporting, market research, and competitor analysis. Collaborate with Product, Engineering, Sales, Marketing, Business Intelligence, and Data Science teams while communicating results to senior stakeholders and clients.

As a Software Engineer, you'll build scalable micro-services, work with large data sets, and optimize performance, focusing on distributed systems and real-time analytics.

Lead cross-functional initiatives to define and deliver vertical solutions for programmatic advertising and MarTech. Translate business and technical needs, define solution requirements, deliver POCs with data science/engineering, enable GTM, manage project plans and stakeholders, mentor team members, and research market trends to identify revenue and retention opportunities.

Design and implement scalable data pipelines and ML algorithms to optimize StackAdapt's digital advertising platform. Collaborate with teams to solve complex problems.

Lead data-driven measurement and performance initiatives for AdTech solutions. Analyze data, design experiments, troubleshoot performance, partner with Product/Engineering/Sales, evaluate revenue opportunities, and support implementation and reporting for measurement solutions.

Build and maintain highly scalable, low-latency microservices in Go to ingest, process, and manage user profile and audience data. Implement event-driven systems with Kafka, work with distributed stores (ScyllaDB, TiDB, Redis), optimize performance and memory, and collaborate with Product, ML, Data, and Infrastructure teams.

As a Senior/Staff Machine Learning Engineer, you will design scalable data pipelines, implement ML algorithms, and collaborate with engineers and Data Scientists to optimize the digital advertising platform.

Own the vision and roadmap for StackAdapt’s Attribution stack, including click-through, view-through, CTV, ABM, and other attribution models. Partner with major clients and cross-functional teams to define needs, align stakeholders, create product specifications, and guide engineering, design, and QA delivery. Translate complex data and identity-resolution constraints into product decisions, use experiments and analytics to drive iteration, and develop measurement products that increase customer engagement.