Top Tech Jobs & Startup Jobs in Toronto

As a Principal Engineer, you will lead AI-driven backend systems for audit products, ensuring scalable, reliable workflows while mentoring teams and influencing technical direction.

Lead strategy, roadmap, and delivery of revenue technology on Salesforce and related platforms. Own product lifecycle, drive cross-functional decisions, prioritize features, manage integrations, improve data quality and reporting, and measure adoption and business impact. Partner with stakeholders, engineering, architecture, and vendors to deliver scalable platform solutions and operational improvements.

The Staff Data Engineer will develop cloud-native data platforms, lead technical strategy, optimize pipelines, ensure data quality, and mentor engineers.

As a Lead Applied Scientist, you will define research strategy, mentor teams, and innovate AI/ML solutions for legal and other professional sectors.

Create and maintain practical, up-to-date data privacy and cybersecurity legal content for Practical Law; monitor global legal developments; support development and integration of AI-powered legal tools; collaborate with product, contributors, and business teams; respond to customer inquiries and support sales/marketing as needed.

Lead strategic planning, performance management, and operational processes for marketing. Build dashboards and OKR frameworks, produce executive narratives and decision-support analyses, and manage cross-functional strategic initiatives. Leverage AI tools to accelerate research, drafting, automation, and anomaly detection while ensuring human judgment and stakeholder alignment.

Lead and build shared AI infrastructure and production-grade agents for a product analytics team. Establish repo standards, evaluation tooling, governance compliance, monitor production agents, close data pipeline gaps, and drive adoption across ~35 analysts and 60+ products while interfacing with cross-team AI and data platform partners.

The Data Scientist will design and maintain predictive models for customer growth, collaborating with various teams to ensure actionable insights and model performance.

The Lead Data Engineer will architect and develop reporting solutions, integrate AI, analyze complex datasets, and mentor team members to enhance data-driven decision-making.

This role involves managing a team of AI and Applied Research professionals, driving the production of AI solutions, and collaborating with product leaders to shape an AI-driven roadmap.