Top Tech Jobs & Startup Jobs in Montreal

Lead the technical design and delivery of banking features at Cash App, collaborating across teams, driving architecture improvements, and mentoring engineers.

Manage a portfolio of mid-market sellers, expanding use cases and technical solutions, negotiating contracts, and providing exceptional client service.

The Staff Software Engineer will develop and execute technical strategies for Cash App Banking, lead architectural decisions, and mentor engineers, focusing on innovative financial solutions.

Design, build, test, and maintain enterprise integrations and automations across procurement, finance, and supply chain systems using MuleSoft and Zip iPaaS. Develop Python tools, write and optimize SQL, collaborate with stakeholders, ensure scalability and security, monitor production integrations, and contribute to documentation and DevOps practices.

The Business Development Rep Associate will drive sales efforts by reaching out to prospective sellers, using various sales techniques, and developing relationships with businesses to promote Square's services, aiming to exceed monthly sales quotas.

Convert inbound leads and source outbound opportunities to own the full sales cycle for SMB merchants. Qualify, demo, and close deals, manage pipeline in Salesforce, collaborate cross-functionally, and consistently exceed monthly and quarterly revenue goals in a fast-paced, data-driven environment.

The Information Systems Engineer will design integrations and enhance engineering processes across various business systems, focusing on scalability and efficiency. Responsibilities include collaborating with teams to implement systems solutions, optimizing integrations, monitoring performance, and supporting production applications.

The Staff Data Analyst will lead data strategy for Compliance, analyzing regulatory engagements, and driving effectiveness through actionable insights and collaboration across various teams.

Partner with Talent Acquisition and People teams to design and deliver People-platform integrations, data services, and AI-enabled automations. Build reusable integrations and platform patterns (Workday, Greenhouse), evaluate vendors, prototype AI solutions, and steward platform operations, governance, and security to scale People technology across the organization.

Build and deploy agentic and generative AI systems that automate risk and compliance investigations. Own full-stack ML systems, including data integrations, prompt tuning, orchestration, evaluation, productionization, monitoring, and transformer-based modeling across transaction, graph, text, and profile data. Collaborate with product, engineering, platform, and operations teams while leading strategic roadmaps and delivering scalable production systems.