Key Facts

Remote From:

Full time

192 - 192K yearly

English

Hard Skills

Code Generation Prompt Engineering Program Development Automated Testing Framework Automated Testing Framework Software Architecture Cross-Functional Collaboration

Other Skills

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Communication
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Leadership
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Analytical Thinking
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Detail Oriented
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Mentorship
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Problem Solving

Job description

About Trafilea

Trafilea is a Consumer Tech Platform for Transformative Brand Growth. We’re 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

We’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.

🚀 We build and scale our own brands.

🦾 We invest in AI and automation like few others in eCom.

📈 We test fast, grow fast, and help you do the same.

🤝 Be part of a dynamic, diverse, and talented global team.

🌍 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 — someone who uses AI to accelerate excellence, not to replace craftsmanship. You’ll 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 team’s 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 system’s 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.