Top Tech Jobs & Startup Jobs in Toronto

Build and scale Stripe Link digital wallet products and payment infrastructure. Responsibilities include designing new products, debugging production issues across the stack, mentoring engineers, collaborating cross-functionally, and improving engineering standards, tooling, and processes. The role requires strong software engineering skills, autonomy, collaboration, and comfort working as a generalist across technologies. Experience with large-scale financial tracking systems and cloud technologies is preferred.

Advise and coach managers on performance management, employee relations, career development, organizational change, and team culture. Serve as an HR policy expert, partner with legal counsel on compliance matters, support talent and workforce programs, guide reorganizations, analyze people data, and improve employee lifecycle experiences across the United States and Canada.

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.

Own and grow strategic payment partnerships with wallets, BNPL providers, and related partners. Manage partner relationships, commercial negotiations, joint initiatives, product launches, and cross-functional execution with Risk, Legal, Product, and Engineering. Drive alignment, establish milestones and performance metrics, develop executive relationships, identify growth opportunities, and improve payment-method adoption and user experiences.

Build and maintain Android applications, SDKs, frameworks, services, and operating-system components for Stripe Terminal devices. Develop payment applications across device types, collaborate with engineering, product, design, and research teams, and establish Android development best practices. The role involves creating scalable, user-focused mobile and developer experiences for in-person payments.

Own the full sales cycle for Stripe’s SMB customers, including renewals, upsells, product adoption, retention, lead generation, negotiations, and closing new business. Build consultative relationships with technical users, understand customer pain points, coordinate cross-functional teams, and develop scalable sales strategies. The role requires strong French and English communication, analytical pricing skills, and comfort working in a fast-paced technology environment.

Lead end-to-end integration engineering for strategic Stripe customers, from architecture through implementation and debugging. Collaborate with sales, solution architecture, and implementation teams; serve as the primary technical contact for enterprise users and partners; explain Stripe products and APIs; educate developers; provide technical thought leadership; and recommend improvements to product and engineering teams.

Build and maintain APIs, backend services, and large-scale systems handling billions of money movement requests. Diagnose production issues, develop financial infrastructure, mentor engineers, collaborate across teams, and improve engineering standards, tooling, and processes. The role requires strong software engineering, autonomous problem-solving, cross-functional collaboration, and comfort working across varied technologies and stacks.

Analyze data and experiments, build metrics, dashboards, reports, pipelines, and data assets, and deliver actionable recommendations. The intern will assess product and business impacts through analytics and A/B testing, collaborate with multidisciplinary teams, communicate findings, and present work to stakeholders while learning from mentors.

Conduct statistical analysis, machine learning, predictive modeling, causal inference, experimentation, and time-series forecasting. Build scalable data pipelines, dashboards, reports, and production models using Python or R, SQL, and Spark. Analyze complex datasets, identify patterns and anomalies, optimize model performance, generate actionable recommendations, and present findings to data science and partner teams. The intern will collaborate with multidisciplinary stakeholders and work on fraud, losses, and financial crime problems.