Faire is an online wholesale marketplace built on the belief that the future is local — there are over 2 million independent retailers in North America and Europe doing more than $2 trillion in revenue. At Faire, they're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe.

Consumer

Internet

Faire

Faire's headquarters in San Francisco, CA, United States

The Toronto office focuses on software development, engineering, and data science to drive innovative technology solutions.

Toronto

The New York office focuses on data-driven product management, marketing operations, and sales strategy for diverse industries.

New York

This department focuses on designing, developing, and maintaining Android applications and related software solutions.

Android Development

This department focuses on designing, developing, and maintaining software applications and systems.

Software Development

The Engineering Team at Faire is responsible for developing and maintaining the platform that connects independent retailers with local brands. Utilizing cutting-edge technologies and machine learning, they engineer scalable solutions to enhance user experience, optimize marketplace functionality, and drive data-driven insights. This diverse team collaborates across various specialties, including software engineering, data science, and machine learning, to ensure robust, secure, and innovative solutions that support Faire's vision of a thriving local economy.

Engineering Team

This department focuses on the design, management, and marketing of products to ensure they meet user needs and market demands.

Product Development

This department is responsible for managing and optimizing the sales process and relationships with key accounts.

Sales Operations

This department focuses on enhancing brand partnerships and driving success through strategic management and execution of brand-related initiatives.

Brand Success

This department focuses on developing and analyzing data models, implementing data engineering solutions, and leveraging machine learning techniques to drive insights and decision-making.

People (10)

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Other teams

Software Development

Engineering Team

Product Development

Sales Operations

Brand Success

Data Science and Engineering