Top Tech Jobs & Startup Jobs in Toronto

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.

Lead development and maintenance of infrastructure tooling and services for core backend systems, champion SRE best practices, design cross-cutting reliability initiatives, guide teams on robust system design, and perform security reviews for new projects and technologies.

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 company-wide talent programs including engagement surveys, performance reviews, and job architecture. Develop psychometrically rigorous measurement frameworks for performance, manager effectiveness, and engagement. Build dashboards, lightweight apps, and AI agents using low-code tools to make people data accessible. Partner with People Business Partners, People Analytics, Total Rewards, and senior leaders to translate findings into recommendations. Automate workflows, oversee AI outputs, and ensure data quality, reliability, ethics, and reduced manual effort.