Top Tech Jobs & Startup Jobs in Toronto

Lead Canada's Customer Facing Capabilities team to standardize and implement GTM strategies, CRM operations, incentives, field deployment, training, and performance KPIs. Partner cross-functionally (Marketing, Medical, Digital, Procurement, Finance) to support launches, drive field effectiveness, manage budget, remove local bottlenecks, and deliver best-in-class, cost-efficient commercial operations.

Lead design and delivery of AI-enabled workflows and scalable product solutions to automate partnership and digital processes. Own product lifecycle using agile methods, collaborate with engineering and AI teams, support deal execution and governance, track portfolio value realization, and provide stakeholder reporting and partnership health assessments.

Design, build, and maintain data pipelines and models to support AI/ML and analytics. Collaborate with product owners, data scientists and analysts to gather requirements, ensure data quality, optimize queries, and implement standard pipelines while adhering to governance and best practices.

The Software Engineer will design and deliver software solutions for research workflows, ensure system scalability, and collaborate with cross-functional teams.

Design and deliver software solutions, ensuring system scalability and reliability, while collaborating with various stakeholders to enhance data analysis and research workflows.

The Software Engineer is responsible for designing and delivering software solutions, ensuring system scalability, and contributing to technical vision and best practices.

Lead a team of up to 10 engineers to deliver AI workflow solutions for R&D. Drive technical vision, ensure quality, establish standards, recruit and develop staff, manage vendors, and collaborate with product and scientific stakeholders to execute the team's roadmap.

The Clinical Data Scientist designs and executes data assessment frameworks, evaluates RWD fitness, and supports evidence generation across Sanofi's enterprise, ensuring optimal data usage and collaboration across teams.

Lead global strategy, development, and deployment of AI-ready data governance products and platforms. Own product lifecycle, standards, metadata, lineage, and data quality; ensure regulatory compliance, drive cross-functional adoption, and build high-performing teams to enable trusted enterprise data for business and R&D use.