Opportunity
Method is the operating system thousands of small businesses run their day on — purpose-built for QuickBooks and Xero users who have outgrown spreadsheets and generic tools. Our no-code customization engine lets customers design workflows that fit their business, and we’re now layering AI on top to help them build and automate those workflows faster than ever.
The Growth team owns the moment that matters most: turning a curious signup into a committed subscriber. We work on the top-of-funnel journey — signup, onboarding, activation, and billing — running continuous experiments to improve conversion at every step. Everything we do is in service of one goal: increasing the percentage of signups that subscribe.
We’re looking for an Intermediate Full-Stack Developer who wants to ship work that moves real metrics for real businesses, and who already works AI-first in their craft.
The Role
You’ll join a focused, cross-functional Growth team. Your work lives in the top-of-funnel stack: signup UI, account API, analytics, billing, onboarding, and subscription — systems that directly affect whether a new user stays or leaves.
As an Intermediate Full-Stack Developer, you’ll operate with periodic review and coaching from your manager and team lead, own implementation decisions within approved experiment scope, and grow toward stronger autonomy over time.
Ship experiment variations end-to-end across React / TypeScript and .NET Core — from hypothesis to production.
Work across the full user journey — the systems that bring new users in, get them to value, and keep them subscribed.
Contribute to improving the early customer experience, helping users find value in the product as quickly as possible.
Support a data-driven team by helping instrument and monitor the features you build.
Operate in an AI-native planning execution verification loop: use AI to understand requirements, generate and refactor code, and validate before shipping. Own what you ship.
Write automated tests alongside your implementations, working closely with QA to meet quality standards.
Collaborate closely with your team across planning, delivery, and regular cross-functional touchpoints.
Escalate early when experiment scope expands, architecture is affected, customer data integrity is at risk, or AI-generated output can’t be safely verified.
What You Bring
We know the ideal candidate doesn’t exist. If you don’t check every box, we’d still love to hear from you — growth potential is real here. That said, the AI-first bar, trust-and-verify judgment, and customer-trust instinct are non-negotiable regardless of background.
3+ years building and shipping production web applications across front-end and back-end.
Strong backend fundamentals in C# / .NET Core, or equivalent in Java, Node, or a comparable stack.
Strong frontend fundamentals in React / TypeScript, or equivalent in Angular or Vue.
Experience with relational and / or NoSQL persistence and ORM.
Solid grasp of API design, real-world debugging, and writing clean, maintainable code.
Hands-on experience with unit and integration testing as a first-class part of delivery.
Comfortable with experiment-driven development: shipping lean MVPs, reading results, and iterating.
Comfortable with tasks with clear direction and close coaching; communicates trade-offs and uncertainty clearly.
AI-first in your daily workflow (Codex, Copilot, Claude, or equivalent) with the engineering judgment to understand and own what you ship.
Sprint / Kanban or ScrumBan experience in an Agile environment
Bonus points if you have any of the following:
Experience with product analytics tools — Amplitude, Datadog, or similar.
Familiarity with A / B testing infrastructure, feature flagging, or experimentation frameworks.
Experience with billing or subscription systems.
Experience with no-code or low-code platforms, or products built around configurability.
Linux, Docker, Redux, MongoDB, ElasticSearch, Redis, RabbitMQ, MassTransit, CI / CD pipeline, Python, AWS.
Microsoft or AWS certifications.
What We Offer
Flexible hybrid work model – designed to support work-life balance while maintaining strong team collaboration; employees work from our downtown Toronto office 2–3 days per week
Collaborative and social team culture – work in a supportive environment with regular team events and company-wide celebrations that keep things fun and connected.
Growth-stage company experience – working at a scaling growth company like Method gives you deep insight into how a software company operates. You'll be involved in a wide range of discussions and initiatives, gaining experience that's hard to find in more siloed environments.
Training – You will receive initial and ongoing training on Method’s products, policies and procedures as well as a quarterly professional development budget.
Great downtown location – Method is located right in the heart of Toronto’s young and vibrant ‘King West’ technology hub at the corner of Adelaide and Spadina Ave.
Comprehensive health benefits – inclusive of healthcare, vision, and dental coverage to support your overall well-being.
Weekly lunch credit – enjoy a meal on us every week as a small way to say thanks.
What to Expect in Your First 90 Days:
Onboard and acclimate with the Development team, including tailored 1on1s.
Complete Method’s Bootcamp.
Understand Method’s values, tools, engineering standards, and the Growth team’s experiment-driven operating rhythm.
Learn how various parts of the system are integrated together, and navigate the codebase so that you can troubleshoot minor bugs.
Start making small improvements based on the product backlog or refactoring code to improve readability, testability, and maintainability.
Contribute to the Development team's culture, processes, and best practices.
Become more confident with code ownership and deploying to production.
Assisting the team with daily releases and monitoring changes.
Start assuming more autonomy and finding small ways to practice ownership across the platform.
Work closely with your manager to explore goals for the rest of the year.
Start sharing useful AI workflows and verification patterns with the team.
Help other developers with code design and decision making.
Compensation: $70,000 - $90,000 annually depending on experience, scope, and level of responsibility. Final compensation will be determined based on the candidate's experience, technical skills, and role level assessed through the interview process.
Job type: Full-time permanent.
This is an active role we are currently hiring for, and we thank all applicants for their interest. Only candidates selected for an interview will be contacted. We kindly request that recruiting agencies do not contact us regarding this position.
AI in Recruitment
At Method, we use artificial intelligence (AI) to help support and enhance our recruitment process. These tools may assist with tasks such as resume screening, drafting job descriptions, generating initial interview questions, transcription, and occasionally sourcing candidates.
AI is never used to make final hiring decisions. All hiring decisions are made by our team. Our use of AI is intended to support administrative and repetitive tasks, helping us streamline our workflows while maintaining a thoughtful and human-centered hiring experience.
We are committed to the responsible and ethical use of AI in our recruitment practices. Our standardized hiring processes are designed to reduce bias and promote fairness, and we regularly review and refine our practices to align with evolving industry standards and legal guidelines.
Method is an equal opportunity employer for all — regardless of race, colour, ancestry, religion, gender identity, sexual orientation, age, marital status or able-bodiedness. As part of our commitment to be an inclusive and accessible workplace, we’re happy to provide accommodations for candidates taking part in the selection process.
Compensation Range: CA$70K - CA$90K
