Top Product Management Jobs in Montréal, QC

Lead the vision, strategy, roadmap, and adoption of GitLab’s test and code coverage capabilities. Identify customer problems involving pipeline failures, flaky tests, test automation, coverage, and recovery. Partner with Engineering and Design to create agent-driven workflows for diagnosis, test optimization, coverage analysis, and safe recovery. Measure outcomes, validate solutions with customers, influence cross-functional stakeholders, and mentor product managers.

Own the vision, strategy, roadmap, and commercialization of GitLab Orbit, a software lifecycle context graph. Lead graph modeling, ingestion, indexing, querying, APIs, agent interfaces, governance, and enterprise readiness. Partner with Engineering, Design, Marketing, Sales, and Customer Success to validate customer needs, define product-market fit, launch and expand adoption, develop pricing and business cases, and track business outcomes. Mentor product managers and influence executives and technical customers.

Lead pricing strategy and packaging across GitLab’s SaaS portfolio, including AI and usage-based products. Analyze market, competitor, customer, and usage data; build financial models; evaluate monetization opportunities; support product launches and SKU mapping; monitor post-launch results; and influence senior leaders across Product, Marketing, Finance, Sales, Deal Desk, and fulfillment.

Own the function’s AI transformation strategy, prioritize high-impact opportunities, map workflows, and drive measurable adoption. Build and manage AI agents using no-code and low-code tools, configure skills and MCP connections, evaluate agent performance, and iterate solutions. Lead change management, champion networks, cross-functional collaboration, intake processes, and alignment with Enterprise AI and executive stakeholders.

Lead product strategy connecting planning, source code management, and AI-assisted development. Define spec-driven workflows, collaborate with engineering/design across Plan, SCM, Code Review and AI, use customer insights and data to prioritize, and help teams ship high-quality features enabling human-in-the-loop and autonomous development.