{"id":2644342,"url":"https://alion.io/job/method-technical-lead-software-development","title":"Technical Lead, Software Development","company":{"id":2624468,"name":"Method","domain":"method.me","url":"https://alion.io/company/method-me","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":120000,"max":144000,"currency":"CAD","period":"year","gross":null,"usd_annual":101473},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"A/B Testing","optional":false},{"name":"C#","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Intercom","optional":false},{"name":"QuickBooks","optional":false},{"name":"SQL","optional":false},{"name":"Xero","optional":false},{"name":"AWS","optional":true},{"name":"Datadog","optional":true},{"name":"ElasticSearch","optional":true}],"status":"live","first_seen_at":"2026-09-24T18:23:52Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-17T13:59:46Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"The Opportunity\nAs Technical Lead on the Growth team, you'll shape how new users discover, adopt and pay for Method. You'll own the technical direction behind onboarding, trial engagement and conversion, scoping projects, designing solutions and leading them from idea to production. Your success will show up in outcomes like activation and trial-to-paid conversion.\nYou'll also set the bar for how the team builds with AI. You'll use AI-assisted development tools to prototype and ship faster, and mentor the engineers around you to do the same, well and responsibly.\nThe Growth Team\nThe Growth team is dedicated to helping SMBs easily sign up, find value and subscribe to Method. We drive continuous growth for our platform by maximizing conversion through seamless onboarding, trial engagement and learning key workflows. Our approach relies on ongoing experiments to test growth opportunities, optimize the early customer journey and support continued discovery.\nAbout Method\nMethod is a Toronto-based company, founded in 2010, building a customizable CRM for small and mid-sized businesses. Our product connects directly with QuickBooks and Xero, automating everyday tasks like tracking leads, managing sales and staying on top of customers. We're investing in AI across our product and in how we build it.\nWhat You'll Do\nBuild and experiment\nPrototype, build, experiment on and maintain onboarding and adoption experiences for new users.\n\nShip partial solutions to get quick insights, then decide whether to strengthen and automate them or discard them based on what you learn.\n\nMove fast with mockups, POCs and rapid development, using AI-assisted tools wherever they speed things up.\n\nAdvocate for the user, making sure our products are intuitive and easy to use.\n\nData and measurement\nDesign and build client libraries and frameworks to log events and track user behavior accurately.\n\nBuild data pipelines that monitor key product metrics and measure the impact of experiments.\n\nIntegrate the parts of our experimentation infrastructure to enable measurement and personalization of user experiences.\n\nWork across teams to gather requirements and design shared datasets.\n\nLead\nScope, design and oversee technical projects from start to finish.\n\nLead and mentor a team of thoughtful, fast-moving engineers through rigorous design and code reviews.\n\nSet standards for developer workflows, including how the team uses AI coding tools effectively and safely: when to lean on them, how to review AI-generated code and how to keep quality high while moving faster.\n\nMake sound build vs. buy decisions, including third-party and AI-powered tools.\n\nHelp hire and grow the team.\n\nOur stack: C#, .NET, SQL, MongoDB, ElasticSearch, React and AWS (including SQS).\nAnalytics and engagement tools: Google Tag Manager, Google Analytics, Segment, Amplitude, Intercom, Appcues and Datadog.\nWhat You Bring\nBefore you read this next section, we want you to know that we know the \"ideal candidate\" doesn't exist. Everybody has a unique background and skill set. Even if you don't check every box below, we'd love for you to apply. We are building for the future and growth potential is a priority for us!\nMust-haves\n5-7+ years of software development experience, ideally on production applications.\n\n1-3 years of technical leadership experience, such as Lead Developer, Principal Engineer or Tech Lead on significant, complex projects.\n\nFull stack experience with C#/.NET, SQL and React, or comparable technologies.\n\nA strong background in data engineering, analytics and A/B testing. You've designed experiments, instrumented them and made product decisions from the results.\n\nExpertise in rapid prototyping, mockups and POCs.\n\nHands-on, daily use of AI-assisted development tools (such as Claude Code, Cursor or GitHub Copilot), and a clear point of view on how to use them well on a team.\n\nA strong focus on user experience and usability.\n\nHow you lead\nYou make and communicate sound technical trade-offs, leading through influence.\n\nYou create clarity from ambiguity and mentor developers through rigorous design and code reviews.\n\nYou help engineers get real value from AI tools, coaching them on good habits instead of just handing them a license.\n\nYou turn incidents and delivery problems into lasting improvements for the platform and the team.\n\nNice to have\nExperience with analytics and engagement tools like Segment, Amplitude, Google Analytics, Intercom or Appcues.\n\nExperience rolling out AI development tools or practices across an engineering team.\n\nPost-secondary education in Computer Science, Computer Engineering, Software Engineering, or equivalent training or experience.\n\nWhy You'll Love Method\nFlexible 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\nCollaborative and social team culture - work in a supportive environment with regular team events and company-wide celebrations that keep things fun and connected\nGrowth-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.\nTraining - You will receive initial and ongoing training on Method’s products, policies and procedures as well as a quarterly professional development budget.\nGreat 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.\nComprehensive health benefits - inclusive of healthcare, vision, and dental coverage to support your overall well-being\nWeekly lunch credit - enjoy a meal on us every week as a small way to say thanks\nWhat to Expect in Your First 90 Days\nFirst 30 days: Understand the architecture, customer workflows, team and risks.\n\nBy 60 days: Lead the technical design and delivery of a priority initiative.\n\nBy 90 days: Ship a measurable improvement, set technical direction, actively mentor the team and introduce at least one improvement to how the team works with AI tools.\n\nJob type: Full-time, permanent.\nCompensation: $120,000 - $144,000 per year.\nThis is an active role for an existing vacancy that 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.\nAI in Recruitment\nAt 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.\nAI 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.\nWe 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.\nMethod is an equal opportunity employer for all - regardless of race, colour, ancestry, religion, gender identity, sexual orientation, age, marital status or able-bodiedness. 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