Material search and next-day sampling platform for architects and designers
Material Bank runs a marketplace where architects and designers search and sample materials across many brands, backed by a modern data stack of Snowflake, dbt, Airflow and BigQuery. LangGraph, LangChain, RAG and Snowflake Cortex in the stack, alongside projects in multimodal search and AI-assisted content, point to an AI-driven rebuild of discovery. A marketing-led hiring mix and event-heavy projects show growth is driven by member acquisition and field engagement.
Notable leadership hires: Creative Director
Material Bank operates a platform that lets architects and interior designers search design materials from many manufacturers and order physical samples in one place. Orders placed by midnight ET ship carbon neutral in a single box for next-morning delivery. The company serves the architecture and design community on the demand side and material brands as partners on the supply side. It is a privately held company headquartered in Miami, FL, with 201–500 employees and hiring in the United States and United Kingdom.
Material Bank uses Python, Go, JavaScript, PostgreSQL, Snowflake, dbt, Apache Airflow, BigQuery and Terraform across AWS, GCP and Azure, plus LangChain and LangGraph for AI, and HubSpot, Klaviyo and Segment for marketing.
Yes. Hiring is steady and marketing-led, with additional openings in data, engineering, sales, product and research, mostly at senior level, across the United States and United Kingdom.
Current initiatives include multimodal search, AI-assisted content generation, intelligent workflows, segmentation data models, virtual platform demos and a framework for local and regional events.
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Material Bank®'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.