Build catalog-scale listing quality systems at Faire using machine learning, LLMs, and production engineering. This hybrid role supports measurable retailer impact.
As a Senior Product Engineer, you will turn model-generated enhancements into reliable product experiences across millions of listings. You will partner with Brand Data Science while owning production delivery, experimentation, and maintainability. The work spans backend services, data pipelines, computer vision outputs, and product judgment.
Key Responsibilities: Build backend services moving model enhancements into live products
Design dependable catalog-scale generation infrastructure and monitoring
Create contracts, auditing tools, and evaluation hooks
Ship experiment-flagged changes and manage launch readiness
Mentor engineers on technical and product judgment
Requirements: Five or more years of experience
Comfort with agentic coding tools
Familiarity with HTML, CSS, TypeScript, React, and Next.js
Experience operating Airflow or similar data pipelines
Understanding of production ML or LLM outputs
Use product engineering, experimentation, and machine learning judgment to improve Faire listings reliably at catalog scale.