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About the Role
As 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. You'll also set the bar for how the team builds with AI, using AI-assisted development tools to prototype and ship faster, and mentoring engineers to do the same responsibly.
Responsibilities
- Prototype, build, experiment on and maintain onboarding and adoption experiences for new users.
- Ship partial solutions to get quick insights, then decide whether to strengthen and automate them or discard them based on what you learn.
- Move fast with mockups, POCs and rapid development, using AI-assisted tools wherever they speed things up.
- Advocate for the user, making sure our products are intuitive and easy to use.
- Design and build client libraries and frameworks to log events and track user behavior accurately.
- Build data pipelines that monitor key product metrics and measure the impact of experiments.
- Integrate the parts of our experimentation infrastructure to enable measurement and personalization of user experiences.
- Work across teams to gather requirements and design shared datasets.
- Scope, design and oversee technical projects from start to finish.
- Lead and mentor a team of thoughtful, fast-moving engineers through rigorous design and code reviews.
- Set standards for developer workflows, including how the team uses AI coding tools effectively and safely.
- Make sound build vs. buy decisions, including third-party and AI-powered tools.
- Help hire and grow the team.
Requirements
- 5–7+ years of software development experience, ideally on production applications.
- 1–3 years of technical leadership experience, such as Lead Developer, Principal Engineer or Tech Lead on significant, complex projects.
- Full stack experience with C#/.NET, SQL and React, or comparable technologies.
- A strong background in data engineering, analytics and A/B testing.
- Expertise in rapid prototyping, mockups and POCs.
- Hands-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.
- A strong focus on user experience and usability.
- You make and communicate sound technical trade-offs, leading through influence.
- You create clarity from ambiguity and mentor developers through rigorous design and code reviews.
- You help engineers get real value from AI tools, coaching them on good habits instead of just handing them a license.
- You turn incidents and delivery problems into lasting improvements for the platform and the team.
Skills
- C#
- .NET
- SQL
- MongoDB
- ElasticSearch
- React
- AWS
- SQS
- Google Tag Manager
- Google Analytics
- Segment
- Amplitude
- Intercom
- Appcues
- Datadog
- AI-assisted development tools
- Data engineering
- Analytics
- A/B testing
- Rapid prototyping
- Mockups
- POCs
- User experience
- Usability
Location
- Toronto
Work Type
- Hybrid
- Full-time
- Permanent
Experience Level
- Mid-Senior level
- Lead
Education Level
- Post-secondary education in Computer Science, Computer Engineering, Software Engineering, or equivalent training or experience.
Salary/Compensations
- $120,000 – $144,000 per year
Benefits
- Flexible hybrid work model
- Collaborative and social team culture
- Growth-stage company experience
- Training – initial and ongoing training on Method's products, policies and procedures, plus a quarterly professional development budget.
- Comprehensive health benefits – healthcare, vision and dental coverage
- Weekly lunch credit
About the Company
- Method 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.
Equal Opportunity
- 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.