About Trafilea
Trafilea is a Consumer Tech Platform for Transformative Brand Growth. Weβre building the AI Growth Engine that powers the next generation of consumer brands.
With over $1B+ in cumulative revenue, 12M+ customers, and 500+ talents across 19 countries, we combine technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands.
We own and operate our own digitally native brands (not an agency), with presence in Walmart, Nordstrom, and Amazon, and a strong global D2C footprint.
Why Trafilea
Weβre a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.
π We build and scale our own brands.
π¦Ύ We invest in AI and automation like few others in eCom.
π We test fast, grow fast, and help you do the same.
π€ Be part of a dynamic, diverse, and talented global team.
π 100% Remote, USD competitive salary, paid time off, and more.
Job Responsibilities
Your mission: transform Cursor from a smart assistant into a genuine engineering multiplier β someone who uses AI to accelerate excellence, not to replace craftsmanship. Youβll ensure every line of AI-generated code meets professional standards in architecture, performance, and security.
- Design, build, and optimize AI-assisted development workflows by integrating Cursor (or equivalent tools) into the teamβs codebase, CI/CD, and automated testing pipelines.
- Create and maintain prompt libraries, templates, macros, and recipes to standardize and scale recurring engineering tasks.
- Audit, refine, and validate AI-generated code for quality, coherence, maintainability, and security compliance.
- Train and mentor other developers on how to leverage Cursor effectively as part of their daily workflow.
- Act as a bridge between product, architecture, and engineering, ensuring that AI-generated output aligns with the systemβs overall design principles.
- Define and monitor key performance metrics such as code quality, time saved, and refactor success rate.
- Stay at the frontier of LLM and AI code generation advancements, recommending new tools and automation strategies to continuously raise the bar.
- Strong background in full-stack software development (ideally with JavaScript/TypeScript, Python, or Go).
- Proven mastery of Cursor or similar AI coding tools (Copilot, Cody, Codex, etc.).
- Solid experience in prompt engineering and designing AI-assisted workflows.
- Strong testing, refactoring, and code review abilities β capable of enforcing quality in AI-generated code.
- Deep understanding of software architecture, design patterns, performance optimization, and security best practices.
- Experience integrating with CI/CD systems, testing frameworks, and code linters.
- Excellent debugging and root cause analysis skills, especially when generated code fails or diverges from expectations.
- Ability to document, teach, and evangelize AI-driven development methodologies.