Top Tech Jobs & Startup Jobs in Toronto

Lead the RTB reporting sub-team to ensure accurate, reliable finance and compliance reports. Build repeatable processes, documentation, and automation; own stakeholder relationships; mentor juniors; and drive cross-functional reporting initiatives from definition through execution.

The Technical Learning Manager at Lyft will oversee technical learning programs, ensure integration with HR functions, and enhance ongoing education for engineering and tech teams, while fostering relationships across departments.

Build and maintain backend systems and large-scale data pipelines powering real-time ad serving, campaign management, targeting, and measurement. Design scalable data models, implement reliable ETL workflows (Airflow/Prefect), integrate APIs and third-party feeds, ensure CI/CD and observability, and collaborate with product, analytics, and data science on architecture and performance.

Lead design, development, and deployment of production ML and LLM systems for real-time rider applications. Architect scalable ML pipelines, collaborate cross-functionally, translate research into production, mentor engineers, and ensure high-quality code and data-driven solutions.

Manage and mentor a growing team of engineers, prioritize projects, ensure high-quality deliverables, and foster an inclusive work environment.

Lead end-to-end autonomous partnership programs, serving as Lyft's primary external contact for partners. Drive launch planning, cross-functional alignment, roadmap prioritization, program health monitoring, and continuous improvement. Manage day-to-day partner communications, present insights to senior audiences, escalate and resolve issues, and optimize operational processes across the program lifecycle.

As a Data Analyst in People Analytics at Lyft, you'll manage data requests, build ThoughtSpot dashboards, and enhance insights using AI capabilities. You'll collaborate with HR to craft metrics and translate findings into actionable insights for leadership.

Use data and rigorous analysis to shape product and business strategy for Global Growth. Conduct product deep dives, identify opportunities, measure feature impact, build strategic roadmaps for international expansion and AV integration, and present recommendations to senior leaders while collaborating cross-functionally.

Lead multiple managers and staff engineers across iOS, Android, and server teams to define technical vision and deliver Rider Loyalty, Partnerships, and Rider Pay products. Coach managers and engineers, collaborate cross-functionally with Product, Design, Data Science, and Analytics, hire diverse talent, and drive scalable consumer-facing solutions to production while ensuring high product quality and business impact.

Build and maintain frontend services and components for Lyft's micromobility operations tooling. Define roadmap and architecture, write well-tested maintainable code, lead projects, participate in code reviews and incident response, collaborate with cross-functional teams, and evangelize engineering best practices to improve operator workflows and platform performance.