B2B gifting platform with AI-driven swag and recipient-choice experiences
Snappy operates a multi-product gifting platform (consumer, enterprise, self-service, on-demand swag) anchored on Salesforce, with heavy investment in AI workflows and outbound prospecting automation. The tech stack reveals a sales-operations-heavy company: Outreach, Gong, Salesloft, and LinkedIn Sales Navigator sit alongside Salesforce CPQ and Einstein Analytics, paired with generative AI projects for swag design and workflow automation. Current hiring is engineering-focused, signaling infrastructure scaling as the company integrates a growing application portfolio and builds AI capabilities.
Snappy is a B2B gifting platform founded in 2015, headquartered in New York. The company serves Fortune 100 enterprises, mid-market businesses, and individual users across three product lines: a consumer-facing gifting app, Snappy Enterprise for corporate gifting, and Snappy Essential for SMB employee and customer gifting. A recent expansion into On Demand Swag—which allows customers to generate branded items via generative AI—positions the company at the intersection of gifting and merchandise. The platform operates at scale: the company has sent over four million gifts globally and maintains relationships with major enterprises. Operational priorities include integrating disparate business applications, scaling the swag experience, and automating high-volume outbound prospecting.
Salesforce ecosystem (CPQ, Marketing Cloud, Sales Cloud, Einstein Analytics, Agentforce), Node.js/React/TypeScript frontend, PostgreSQL and MongoDB databases, AWS Lambda and Kafka for backend services, plus Outreach, Gong, and Salesloft for sales operations.
Generative AI for swag design, AI-driven workflow automation, Salesforce-based intranet applications, outbound prospecting automation, swag marketplace evolution, supplier tooling, and integration of multiple business applications for pipeline generation.
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Snappy'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.