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Own and grow the apparel brand book by sourcing and onboarding new wholesale apparel brands. Run high-volume, data-informed sales cycles from outreach through onboarding and early success, act as category expert, mentor SDRs, collaborate with product and marketing, represent Faire at events, and optimize processes to drive category growth.

The Staff Backend Engineer will architect retail-facing search systems, integrate AI capabilities, solve scaling problems, collaborate cross-functionally, and mentor the team.

The role involves defining the vision for search and discovery experiences, leading end-to-end design, collaborating cross-functionally, and evolving design systems

As a Staff Backend Engineer, you will architect and develop high-performance search and discovery systems, integrating AI capabilities and optimizing search functionalities while mentoring the engineering team.

Lead and grow Faire's creative team to sharpen messaging, elevate visual brand, and tell compelling stories across campaigns, product, and sales. Partner cross-functionally to connect creative work to business outcomes, scale creative operations and tooling, and adopt emerging creative technologies including AI while balancing speed and craft.

As a Verifications Associate, you'll verify small businesses, implement risk management policies, and monitor credit exposure while collaborating with sales and support teams.

Lead cross-functional strategic initiatives using data to drive growth. Break down ambiguous problems, execute deep analyses, define and own key metrics, surface actionable insights, build scalable operations, and partner with Product, Sales, Finance, Operations, and Marketing to turn findings into measurable impact.

Drive backend architecture and APIs for the Brand Platform: define service boundaries, build AI enablement, optimize high-contention data models, deliver Kotlin server features, and improve customer-facing experiences for web and mobile.

Lead design and productionization of next-generation search ranking and recommendation systems using transformers, LLMs, GNNs, and deep learning. Build personalized, real-time retrieval and ranking models, collaborate cross-functionally to run experiments and A/B tests, and mentor engineers on MLOps and model development to improve retailer discovery and search relevance.

Lead marketing analytics and attribution for paid and owned channels: manage attribution ETLs, design and analyze A/B tests, build payback/ROI models and dashboards, partner with finance, performance marketing, and product to set KPIs and recommend spend allocation.