Agentic storefront plus cross-border shipping, tax and returns for brands
Swap runs an AI agent-led storefront for online brands, plugging into Shopify, BigCommerce and WooCommerce on a TypeScript, Node.js, GraphQL and Python/FastAPI stack across AWS and GCP. Job-post signals cluster heavily around billing: a new billing engine, ERP data migration, billing accuracy and revenue leakage. That points to finance and operations infrastructure straining to keep pace with a commerce product that now spans shipping, returns and cross-border tax.
Notable leadership hires: Product Director
Swap is a London-headquartered, privately held company founded in 2022 with 201–500 employees. It builds an agent-led storefront that replaces static e-commerce sites, guiding shoppers through discovery, virtual try-on and checkout. Alongside the storefront, Swap works on shipping, returns and cross-border tax capabilities for brands selling internationally. The platform integrates with Shopify, BigCommerce and WooCommerce and handles payments via Stripe. Hiring spans the United Kingdom, Poland, the United States and the Netherlands.
Swap uses TypeScript, React, Node.js, GraphQL, Python and FastAPI on AWS and GCP (Cloud Run), with PostgreSQL, dbt, Snowflake, BigQuery and Lightdash for data, plus Stripe, HubSpot, Intercom and Zendesk.
Job posts point to a billing engine implementation, an ERP data migration, AI-driven workflow automation, cross-border tax, shipping and returns, and front-end shopper experiences.
Swap is hiring in the United Kingdom, Poland, the United States and the Netherlands. Open roles span engineering, product, finance, ops and support, and include a Product Director role. Hiring is accelerating.
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Swap'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.