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Top Tech Jobs & Startup Jobs in Toronto
Payments • Software
Manages risk partnerships with banks, payment networks, and acquiring partners across North America. Leads risk-focused initiatives, negotiates risk and compliance approaches, develops policy recommendations, improves partner-facing capabilities, and supports new business opportunities. Coordinates with product, engineering, risk, fraud, financial crime, operations, legal, and finance teams while managing senior external stakeholders.
Payments • Software
Lead complex commercial credit reviews, manage high-risk merchant escalations, identify credit trends, and improve risk processes and decisioning at scale. Partner cross-functionally with engineering, strategy, sales, and vendor management teams. Use SQL and analytics to develop insights, optimize credit strategies, enhance workflows, and reduce Stripe’s credit exposure while supporting business growth.
Top Skills:
SQL
Payments • Software
Own the full sales cycle for Stripe’s SMB customers, including renewals, upsells, product adoption, lead generation, negotiations, and retention. Build consultative relationships, identify customer needs, close new and expansion opportunities, and coordinate with cross-functional teams. The role requires fluent French and English, strong technical understanding, analytical pricing skills, and the ability to manage complex, high-velocity sales engagements.
Top Skills:
ExcelSQL
Payments • Software
Manage and grow a portfolio of ecosystem partners, develop scalable partner programs, identify expansion and distribution opportunities, drive product adoption, lead integrations and enablement, coordinate cross-functional delivery, negotiate commercial agreements, and measure partner performance through pipeline, activation, and adoption metrics.
Top Skills:
Payment IntegrationsSaas PartnershipsStripe Platform
Payments • Software
Design and prototype user experiences for Stripe products, translating business ideas into polished, user-centered solutions. Collaborate with product managers, engineers, researchers, data scientists, and designers from concept through implementation. Participate in design critiques, conduct user research, gather feedback, refine designs, and help ship production experiences. The internship requires strong problem-solving, communication, design craft, and responsible use of AI tools.
Top Skills:
Ai ToolsCanvaCursorFigmaLovableV0
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Payments • Software
Manage end-to-end onboarding and implementation for mid-market and enterprise Stripe customers. Develop integration architecture, change management strategies, and launch timelines; coordinate with Sales, Technical Services, Product, and Engineering; explain technical concepts; resolve complex business requirements; and improve implementation processes and team operations.
Top Skills:
APIsSQLStripe
Payments • Software
Lead enterprise product strategy and roadmap for Stripe Terminal Payments. Develop integrations for gift cards, private-label credit cards, tax refunds, third-party point-of-sale systems, loyalty, CRM, and host-to-host payment gateways. Partner with enterprise users, engineering, product, partnerships, marketing, legal, and industry teams to deliver scalable commerce capabilities, resolve trade-offs, support go-to-market activities, and improve enterprise payment experiences.
Top Skills:
Agentic CommerceCore PaymentsHost-To-Host Payment IntegrationsOptimized Checkout SuitePoint-Of-Sale SystemsStripe ApiStripe Terminal
Payments • Software
Develop and deploy large-scale machine learning systems for Stripe’s financial infrastructure. Interns will design, train, improve, and launch production ML models supporting fraud detection, user behavior prediction, customer support, foundation models, and other business applications. The role involves research, software development, cross-functional collaboration, learning unfamiliar systems, and communicating project progress.
Top Skills:
SparkGitLarge Language ModelsMachine LearningMlopsNumpyPandasPythonReinforcement LearningScalaScikit-Learn
Payments • Software
Master’s machine learning engineering interns will design, train, improve, and deploy production-scale machine learning systems at Stripe. Projects may involve foundation models, fraud detection, user behavior prediction, support tools, and financial services. Interns will collaborate across teams, learn unfamiliar technologies, communicate progress, and contribute to end-to-end ML development. Candidates must be pursuing a relevant master’s degree, have practical programming and machine learning experience, and intend to return to their degree program after the internship.
Top Skills:
SparkLarge Language ModelsMachine LearningMlopsNumpyPandasPythonReinforcement LearningScalaScikit-Learn
Payments • Software
Leads the Terminal Enterprise Features engineering team, setting its roadmap, developing scalable payment integrations, and delivering merchant-specific features such as in-person refunds and DCC. Partners with Product, Design, Legal, Go-to-Market, and other teams to advance unified commerce. The manager recruits and develops engineers, drives technical excellence and system reliability, coordinates cross-team dependencies, and influences Stripe APIs, payment methods, gift cards, and point-of-sale connectors for large enterprises.
Top Skills:
AIAPIsBackend SystemsCard ReadersFirmwareMobile DevelopmentPayment HardwarePayment MethodsPoint-Of-Sale Integrations
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