At Faire, our mission is to empower brands and retailers to strengthen the unique character of local communities. Our engineering team builds the technology that powers our platform — enabling independent brands and retailers to connect and thrive. We’re growing fast and tackling ambitious challenges across search and discovery, logistics, data science, machine learning, AI, mobile, payments, and more.
Designs the core buying experience for retail customers; We use data science to personalize retailer experience via intelligent onboarding, product discovery, order insights, reorder automation, and virtual assistants.
Builds the seller experience — from storefronts to analytics. We use AI to power automated listing quality improvements, catalog enrichment, taxonomy prediction, translation services, and intelligent brand-retailer matching to help brands grow and manage their businesses.
Builds AI & ML systems to help retailers find the right products. This includes intelligent search, personalized recommendations, visual product discovery, sponsored placements, natural language query understanding, and more!
Focuses on optimizing pricing, incentives, and the economics of our platform. We use traditional ML to predict shipping costs and automate risk assessment, and LLM-based data extraction for weight/dimension prediction to optimize payments, checkout, and order systems.
Owns the web, mobile, & ML platforms, along with common infrastructure, cloud operations, security, & IT. Delivers AI-powered developer tools and coding assistants to ensure systems remain scalable, reliable, and efficient.
We work in cross-functional teams which include experts across many job domains:
• Product Managers: Guide vision, strategy, and product development.
• Designers & UX: Shape customer experiences through design systems, intuitive interfaces, and user research while maintaining consistency across our platform.
• Frontend Engineers: Build and maintain Faire's web and mobile experience.
• Backend & Platform Engineers: Build common infrastructure services across Cloud & ML. Delivers AI-powered developer tools and coding assistants to ensure systems remain scalable, reliable, and efficient.
• Data Scientists & Machine Learning Engineers: Build and deploy applied AI and machine learning models to power personalization, recommendations, search ranking, and intelligent automation.
• Data Analysts & Analytics Engineers: Develop ETL pipelines, create data visualizations, and derive insights from AI-powered analytics tools to inform business decisions.
• Strategy & Analytics: Set goals, run experiments, analyze performance, and answer our hardest strategic questions to help the team make better decisions.
• Marketing & Growth Specialists: Drive acquisition, engagement, and retention across brand and retailer audiences.