Influencer and affiliate marketing software for eCommerce brands
Upfluence runs an influencer marketing platform for eCommerce brands and agencies, built on a Go and Ruby backend with Cassandra, Elasticsearch, RabbitMQ and Thrift. That service-oriented, data-heavy stack is now moving onto Kubernetes, and job posts point to pressure around ingesting creator data at scale. Hiring is small but accelerating, engineering-led, and concentrated in France, with OpenAI API usage hinting at AI product features.
Upfluence, founded in 2013 and headquartered in New York, sells influencer marketing software aimed at eCommerce and social commerce. Brands and agencies use it to run creator, affiliate and ambassador programs that tie partnerships to online sales. The company employs 51–200 people and is privately held. Its go-to-market runs on Salesforce and HubSpot, backed by paid acquisition across Google, Bing, LinkedIn, Meta and YouTube ads.
Upfluence's backend uses Go, Ruby, PostgreSQL, Apache Cassandra, Elasticsearch, RabbitMQ, Apache Thrift and Prometheus, with Salesforce and HubSpot for go-to-market and the OpenAI API in use. Kubernetes is being adopted.
Upfluence is headquartered in New York, but current hiring is focused in France, with an engineering-led mix that also includes product and marketing roles at mid and senior levels.
Job posts point to a Kubernetes migration, deployment automation with GitHub Actions, influencer data pipelines, AI-powered product features and international influencer marketing campaigns.
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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.