Top Tech Jobs & Startup Jobs in Toronto

Own full-cycle sales, renewals, upsells, product adoption, and customer retention for Stripe’s growing SMB accounts. Generate leads, manage negotiations, understand technical customer needs, and coordinate cross-functional teams to improve customer outcomes and revenue. The role requires consultative selling, complex pricing analysis, stakeholder management, and strong communication in a fast-paced technology environment.

Own full-cycle sales, renewals, upsells, product adoption, and customer retention for Stripe’s SMB customers. Generate leads, manage consultative sales strategies, negotiate contracts, close new business, identify customer needs, and coordinate with product, sales, risk, and operations teams. The role requires managing complex technical and pricing considerations, building stakeholder relationships, and operating effectively in a fast-paced environment.

Develop and execute strategic product partnership initiatives with major card networks. Identify opportunities, create commercial models, lead complex negotiations, and establish scalable partnership frameworks. Coordinate cross-functional execution across Product, Engineering, Legal, Finance, Risk, Compliance, and Treasury while managing dependencies, risks, stakeholder alignment, and partner operations. Represent Stripe with senior external stakeholders and at industry events.

Develop machine learning and statistical models, analyze data, run experiments, and apply causal inference and optimization to improve Stripe’s products, risk, finance, growth, and go-to-market decisions. Partner with cross-functional teams, translate complex analyses into actionable recommendations, manage multiple projects, and help deploy and optimize production models.

Build and deploy software solutions at Stripe, collaborate on multi-person coding projects, learn unfamiliar systems, communicate technical work clearly, and use AI tools responsibly to accelerate development. Engineers may specialize in frontend, backend, infrastructure, or other technologies while contributing to production systems, code reviews, large codebases, and independently managed projects.

Lead Stripe’s engineering team responsible for Requirements Management APIs and infrastructure supporting risk requirements across onboarding, monitoring, and regulated financial products. Define strategy and roadmaps, guide scalable and reliable architecture, manage complex cross-team workstreams, develop senior engineering talent, recruit, and align stakeholders across Risk, Product, Data Science, Design, and Engineering. The role requires strong technical judgment, operational rigor, and autonomous organizational leadership.

Lead and grow Stripe’s Paid Support team serving large strategic users. Manage technical account managers and managers, set team strategy and goals, hire and retain talent, coach performance, improve service quality through data, support revenue growth, and partner with sales, product, engineering, and support leadership. Champion user needs and help scale the organization through recruiting, training, policy development, process design, and strategic operational initiatives.

Drive go-to-market strategy and execution for payments products, including product launches, audience segmentation, customer insights, messaging, positioning, pricing and packaging input, thought leadership content, and sales enablement. Partner cross-functionally with product, partnerships, sales, and marketing teams to increase product awareness, demand, and adoption.

Build and deploy software solving complex problems for Stripe’s financial infrastructure. Collaborate on multi-person coding projects, learn unfamiliar systems through research and mentorship, communicate clearly with stakeholders, and use AI tools while rigorously reviewing and validating outputs. Work may span frontend, backend, infrastructure, large codebases, code reviews, production updates, and independently led projects.

Software engineering interns build and ship production software across Stripe’s technology stack, contribute to technical design and code reviews, collaborate with engineers and stakeholders, and learn rapidly with mentorship. Projects may involve payments, fraud detection, payouts, checkout, anomaly detection, and other financial infrastructure. Candidates need computer science fundamentals, programming experience, teamwork or project experience, adaptability, and the ability to use and critically evaluate AI development tools.