About the role
*Remote - Canada*
Who Are We?
Thanx is a leading loyalty and guest engagement platform for restaurants. Thanx helps regional and national restaurant brands grow customer lifetime value with easy-to-use lifecycle marketing automations and innovative customer loyalty tools focused on access, status, and personalization over rote discounts. Thanx’s proprietary credit card tokenization technology dramatically increases the volume and accuracy of purchase data which sits at the core of our CRM suite of tools and our app and web-based ordering experiences deliver industry-leading conversion and repeat purchasing. We were named to Nation’s Restaurant News “2020 Power List” as one of the 50 most influential innovators in food-service.
Thanx has gained the investment of prominent venture and growth equity luminaries, having raised more than $30M from elite investors such as M33 Growth, Ribbit Capital, and Sequoia Capital. Core to our success is a culture that has attracted some of the best talent from across the country; we are proud of incredibly strong employee tenure, track record of internal promotions, and impressive alumni network. We credit our cultural “core behaviors” with these accomplishments: Think Boldly, Execute Reliably, Focus on What Matters, Say “Thanx” Genuinely, Encourage Diverse Perspectives, and Lead, Virtually.
Key Responsibilities
- Build scalable, maintainable software solutions across full stack development
- Develop using AI augmented workflows. Our engineers use Claude Code as their primary development tool with MCP connections to production data, Jira, Notion, Sentry, and Datadog. We expect engineers to actively leverage and improve these workflows.
- Diagnose bugs and address root causes to enhance stability; participate in on call rotations
- Actively engage in code reviews and technical discussions to improve team collaboration
- Systematically identify and mitigate technical debt
- Stay current with emerging technologies and participate in learning opportunities
Core Requirements
- 6+ years developing with modern web frameworks (Ruby on Rails, Django, or similar)
- Experience with front end technologies: React, Angular, TypeScript, or comparable tools
- Full stack capability with potential specialization in one area
- Strong communication skills for remote collaboration and cross functional discussions
- Active daily use of AI coding tools (Claude Code, Cursor, or similar) with demonstrated productivity gains. We are looking for engineers who have integrated AI into their development workflow, not just experimented with it.
Preferred Qualifications
- Specific expertise in Ruby on Rails, React, and React Native
- Experience building reusable AI workflows, skills, or tooling that others can use
- Computer Science degree (B.Sc. or higher)
- Infrastructure as code experience (AWS CDK, Terraform)
- Data platform experience (Snowflake, Fivetran, dbt)
- Early stage startup background
Compensation Ranges:
L4 - Tier 1 City: $155,000 - $190,000 CAD
L4 - Tier 2 City: $135,000 - $165,000 CAD
L5 - Tier 1 City: $185,000 - $220,000 CAD
L5 - Tier 2 City: $165,000 - $200,000 CAD
Leveling & Location:
Thanx uses structured internal levelling and location-based compensation. Final levelling and compensation are determined through the interview process based on experience, scope, and work location, and any offer will align to the appropriate range.
Application Process:
- This position is an existing vacancy.
- We may use artificial intelligence (AI) tools to assist in screening or assessing applications; human review will always remain part of the process.
Ready to change your life? Apply now!
We are proud to be an Equal Employment Opportunity company. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Thanx will consider qualified applicants with arrest or conviction records for employment in a manner consistent with local requirements.
