Top Tech Jobs & Startup Jobs in Toronto

Lead Link's payments partnerships with card networks, issuers, local payment methods, and crypto providers. Define and execute partnership strategy, negotiate commercial agreements, drive technical integrations, influence product roadmap, coordinate cross-functional stakeholders, and scale partnerships to expand payment capabilities and acceptance.

Lead a TechOps team ensuring reliability of Financial Connections banking integrations. Define SLOs and operational metrics, manage partner escalations, prioritize integration backlog, and drive agentic LLM automation strategy. Hire and develop engineers, coordinate cross-functional planning, and represent operational needs to engineering, partnerships, compliance, and legal.

Build next generation internal AI coding tools to enhance Stripe's engineering productivity. Collaborate across teams and represent customer experiences effectively.

Design and lead architecture for real-time screening, detection, and investigation systems to enforce sanctions and AML rules. Build high-throughput, low-latency APIs and distributed pipelines, enable multi-tenant risk-as-a-service, integrate ML/LLM tooling for reviewer augmentation, drive cross-functional alignment, mentor engineers, and ensure operational reliability including on-call ownership.

Build, improve, and deploy fraud and loss detection models using supervised and unsupervised ML, causal inference, optimization, and experimentation. Partner with engineering and operations to productionize models, run experiments, and surface insights to shape fraud strategy and reduce financial crime.

Lead a team to design, build, and operate large-scale data pipelines and warehouses, ensure data quality and SLAs, collaborate cross-functionally, leverage AI/LLM, and drive key data initiatives from planning to delivery.

Lead product strategy and roadmap for AI-powered financial-crime controls, building infrastructure, investigator tools, and UI/APIs. Drive cross-functional execution, define success metrics, and monitor regulatory and competitive landscape.

Design, train, evaluate, and deploy ML models (including LLMs) to production. Build automated pipelines, integrate models into scalable systems, run experiments, and collaborate with product partners to drive business impact.

Lead an engineering team building and operating a conversational AI platform: set technical roadmap, deliver scalable systems, collaborate with product, mentor engineers, and ensure reliability and performance.

Designs product experiences for Stripe’s Risk team, translating complex systems, policies, and operational constraints into clear workflows. Partners with product, engineering, research, operations, and strategy teams to shape direction, prototype solutions, improve cross-journey coherence, and deliver high-quality experiences. The role emphasizes systems thinking, product strategy, visual and interaction design, stakeholder influence, and measurable improvements for businesses navigating onboarding, trust, compliance, and growth.