Top Tech Jobs & Startup Jobs in Toronto

Build scalable, reliable ML infrastructure and services for notebooks, training, experimentation, deployment, serving, and LLM applications. Partner with ML engineers and product teams to enable production-ready MLOps workflows, improve developer productivity, and operate high-availability, low-latency systems across regions.

Design, build, maintain, and debug APIs, services, and large-scale systems handling billions of payment and money-movement requests. Collaborate cross-functionally to deliver new features, improve engineering standards and tooling, and resolve critical production issues. Mentor engineers and contribute effectively within a distributed, hybrid team.

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.

As an Engineering Manager at Stripe, you will lead teams in launching and scaling Unified Commerce experiences and managing POS integrations to support enterprise-level features. Responsibilities include driving the team roadmap, supporting technical excellence, and recruiting engineers while collaborating across Stripe.

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

Manage complex AutoFile tax escalations by investigating root causes, coordinating cross-functional teams, driving operational visibility through metrics, preparing for regulatory or system changes, and implementing process improvements to reduce recurrence and improve operator and user experience.

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.

Lead Stripe's Extensibility program across Scripts, Custom Objects, and Workflows. Drive cross-org decisions, own critical launch paths, shape product and engineering roadmaps, negotiate trade-offs, and ensure ProServ and Partnerships requirements are reflected and delivered.

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.

Partner with the Link product team to analyze data, build statistical and ML models, design and analyze experiments, and produce insights to improve conversion, enable local payment methods, and develop consumer features. Communicate findings, collaborate cross-functionally, and deliver impactful, production-ready analyses and models.