Top Tech Jobs & Startup Jobs in Montreal

Lead commercialization and go-to-market strategy for the US Home Care market. Develop positioning, messaging, value propositions, competitive differentiation, customer insights, sales enablement, and product launch strategies. Partner cross-functionally with Product, Sales, Marketing, Customer Success, Finance, and Education Services to improve win rates, contract value, adoption, expansion, and retention. Apply AI tools responsibly to improve work quality and efficiency.

Leads technical design and hands-on development of customer integrations, connector automations, custom exports, workflow flows, and file-based interfaces. Owns data accuracy and auditability, mentors developers across teams, guides complex cross-functional projects, and represents Engineering in customer discussions. Identifies repetitive customer-specific work for productization and automation, adopts AI engineering tooling, and feeds field insights into Product and Solution Architecture.

Build and scale a strategic procurement function: develop policies, run RFPs, select and negotiate with suppliers, manage vendor relationships and contracts, monitor procurement metrics, identify cost savings, and partner with Finance. Drive process improvements, supplier performance, and adoption of AI tools to improve procurement efficiency.

Join as a Junior Fullstack Developer contributing to product features alongside senior engineers. Assist in designing, coding, testing, debugging, and resolving bugs. Use GenAI tools, pair-program, participate in code reviews, write automated tests, and follow CI/CD, containerization, and monitoring practices. Participate in team rituals and learn modern development workflows while being mentored.

Design, implement, test, and maintain enterprise Android applications (Kotlin). Provide technical leadership, mentor teammates, define technical roadmap, monitor production, support incident rotation, and improve automated testing and maintainability.

The Staff Data Engineer will design and implement scalable data pipelines, mentor junior engineers, and enhance data system performance and architecture.

Lead and grow a product or platform engineering team, owning end-to-end delivery, technical quality, AI-first development practices, cross-functional collaboration, roadmap execution, and operational reliability while coaching engineers and driving engineering standards.

Design, implement, test, and maintain full‑stack features in a SaaS product. Provide technical leadership, mentor peers, influence product technical roadmap, monitor production, improve testing practices, and participate in future on‑call rotations.