Influencer marketing platform connecting eCommerce brands with creators at scale
Upfluence operates an influencer marketing platform serving 1,300+ eCommerce and social commerce brands. The tech stack reveals a data-intensive operation—PostgreSQL, Cassandra, Elasticsearch, and RabbitMQ for high-volume creator and campaign data—now adopting Kubernetes to handle scaling challenges. Hiring is heavily weighted toward marketing and product (7 of 10 active roles), with active projects in automation, budget optimization, and paid acquisition, signaling a shift toward programmatic workflows and efficiency.
Upfluence is a privately held influencer marketing platform founded in 2013 and based in New York. The product helps eCommerce brands and agencies drive online sales by identifying, managing, and tracking influencer partnerships at scale. The platform combines social data and brand affinity analysis to convert high-performing customers into affiliate and ambassador relationships. With 1,300+ clients and a 51–200-person team across the US, Canada, and France, Upfluence is actively scaling its product capabilities and expanding its go-to-market operations.
Upfluence uses PostgreSQL and Apache Cassandra for data storage, Elasticsearch for search, RabbitMQ for messaging, and Kubernetes for orchestration. On the application layer: JavaScript, Python, Go, and Ruby. Marketing and analytics tools include Salesforce, HubSpot, Google Analytics 4, Mixpanel, and VWO.
Active projects include automations and AI workflows, campaign planning and execution, budget optimization, paid acquisition agency management, organic and SEO initiatives, and conversion rate optimization. The team is also managing infrastructure migration to Kubernetes and large-scale data ingestion.
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Upfluence'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.