Top Remote Jobs in Montreal

Lead the Identity & Security Product Management team, defining product strategy for IAM and security features, collaborating with stakeholders and driving compliance and security initiatives across MongoDB products.

As a Sr. Consultant, you will design and develop value-driven models, support market strategies, collaborate across teams, and help maximize customer business value.

Lead scoping, planning, and execution of large-scale sales transformation projects. Drive cross-functional collaboration, change management, KPI-driven reporting, and continuous improvement to increase sales efficiency, forecasting accuracy, and customer/employee experience.

The Data Scientist will conduct advanced analytics, focusing on care gaps and segmentation of healthcare professionals using real-world data. Responsibilities include planning analyses, preparing datasets, developing predictive models, and collaborating with product managers to communicate insights.

Drive product operations focusing on GTM and post-launch processes, optimize workflows, manage cross-functional projects, and mentor team members.

Lead Flywire's Higher Education growth strategy across Quebec and Atlantic Canada, driving revenue and building relationships with senior stakeholders in the education sector.

The Product Owner translates business requirements into user stories, prioritizes the development backlog, and collaborates with the team to ensure delivery meets business objectives.

Seeking a Senior Full-Stack Engineer with leadership experience, strong web development skills, and effective communication. Responsibilities include managing projects, leading teams, and collaborating with clients to define technical solutions.

As a Software Engineer II, you'll implement critical features, collaborate with teams, maintain full stack systems, and ensure high-quality code in a dynamic environment.

The role involves building and maintaining AI/ML infrastructure, managing machine learning model lifecycles, and supporting AI/ML scientists with tooling for deployment. Additionally, it includes improving engineering processes and setting high-quality standards.