Top Tech Jobs & Startup Jobs in Montreal

Manage Montreal workplace operations, including office readiness, supplies, access, deliveries, vendors, and facilities coordination. Provide recurring executive support to the CEO and CTO through calendar management, travel, appointments, expenses, meeting logistics, and communications. Coordinate recruiting, onboarding, company events, documentation, and operational trackers. The role requires discretion, strong organization, bilingual French and English communication, independent follow-through, and gradual expansion into broader executive assistant responsibilities.

Design and implement security solutions across application, product, infrastructure, enterprise, and observability domains. Conduct threat modeling, embed security into engineering workflows, automate detections and incident response using AI, participate in on-call incident response, and support compliance efforts including SOC 2, ISO 27001, and PCI. Mentor engineers, influence security strategy, and collaborate with internal stakeholders and vendors in a regulated fintech environment.

Designs and implements security solutions across application, infrastructure, enterprise, and observability domains. Responsibilities include threat modeling, integrating security into development workflows, automating detection and response using AI, incident response, regulatory support, mentoring, and shaping security priorities. The role requires collaboration with engineering, product, compliance, and vendors in a regulated fintech environment.

Provide hands-on legal and regulatory advice across crypto, payments, securities and AML; partner with product, compliance and leadership to launch products, lead regulatory initiatives, draft commercial agreements, and improve legal processes using AI and automation.

Lead growth-focused data science across cross-functional squads: design experiments, build models and dashboards, run causal analysis and forecasting, define KPIs, identify high-leverage opportunities, and drive data-informed product and marketing decisions to improve acquisition, retention, and monetization.

Lead growth-focused data science within a cross-functional squad: define KPIs, run experiments, perform causal inference and forecasting, build dashboards and self-serve tools, identify high-leverage opportunities across acquisition, activation, retention and monetization, and evangelize data-driven decision making to drive measurable business impact.