Top Tech Jobs & Startup Jobs in Montreal

Lead product direction for tenant scale and unified deployment across GitLab.com, Dedicated, and Self-Managed. Define requirements for tenant portability, scalability, isolation, and regional compliance. Partner with engineering, product peers, and customers to translate infrastructure constraints into product strategy, prioritize tradeoffs, and align distributed teams to deliver a unified deployment platform.

Lead product strategy for GitLab's engineering analytics and insights platform, define multi-horizon roadmap, partner with data and engineering teams to build pipelines, knowledge graph integrations, dashboards, and conversational AI experiences that turn engineering data into decision-ready intelligence for software leaders.

Lead a team of senior product managers across CI, artifact management, CD, and observability to define an AI-native product vision for agent-driven software delivery. Align engineering and go-to-market partners, use telemetry and customer insight to prioritize roadmaps, drive migration and adoption paths, and model AI-native product management practices to accelerate commercial growth and platform coherence.

Build and maintain the TypeScript-based Duo Client SDK, including Node.js core packages, public APIs, browser-compatible modules, Vue 3 client components, and platform adapters. Responsibilities include migrating consumers from the GitLab Language Server, managing versioning and deprecation paths, strengthening credential security, optimizing browser performance, writing tests, conducting code reviews, and participating in on-call support.

Build and maintain Ruby on Rails backend features for vulnerability management, including security dashboards, reports, and ingestion pipelines. Improve system performance, reliability, and scalability; collaborate across backend, frontend, product, design, and security teams; review code; address technical debt; and participate in on-call rotations. The role requires relational database experience, distributed-team collaboration, technical problem-solving, and contributions across the stack when needed.

Lead GitLab’s Security Posture Management team within Product Security. Drive governed security capability rollouts across the software estate, establish secure configuration baselines, build software supply chain security, manage risk registers and posture metrics, support audit evidence, and provide customer-zero feedback to Product and Engineering. Hire, coach, and develop the team while representing GitLab’s security practices externally and driving measurable risk reduction in a remote, asynchronous environment.

Build and maintain the Python-based backend engine for GitLab Duo Chat, including agentic LangGraph flows, the Flow Registry, and Duo Workflow Service. Integrate chat capabilities with GitLab’s Rails monolith and GraphQL API, develop secure and tested high-scale features, optimize performance, review code, address technical debt, and collaborate cross-functionally. Participate in weekday, weekend, and occasional nighttime Tier 2 or Tier 3 on-call rotations.

Provide advanced technical support for GitLab’s largest customers, troubleshooting complex Linux, GitLab, CI/CD, infrastructure, and integration issues. Build customer relationships, resolve critical incidents, collaborate with Product, Development, Infrastructure, Customer Success, and Sales teams, create reusable support documentation, share knowledge, and participate in hiring. The role requires strong Linux systems expertise, scripting ability, debugging skills, and familiarity with Kubernetes and serverless technologies.

Build and operate GitLab’s Gitaly backend storage systems, focusing on distributed storage, Git repository management, reliability, scalability, performance, and observability. Own complex technical initiatives end to end, lead system design, collaborate across engineering and customer-facing teams, mentor engineers, improve development practices, respond to incidents, participate in on-call duties, and implement operational improvements for production systems.

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.