Privacy-first data clean room for multi-party customer data collaboration
InfoSum runs a data clean room that lets companies match and analyze customer data across parties without moving it. Its Go, gRPC and Protocol Buffers core on Kubernetes, spanning AWS, GCP and Azure alongside Snowflake and Databricks, matches a push to run its native app across all five major clouds. Hiring is engineering-led but slow, and a Head of Infrastructure search plus repeated high-load bottleneck pains point to scaling strain.
Notable leadership hires: Head of Infrastructure
InfoSum, founded in 2016 and headquartered in London, builds a data collaboration platform built on patented technology that keeps data in place while enabling joint analysis between organizations. It serves advertising, marketing and martech use cases including first-party data activation, identity resolution and insights. The privately held company employs 51–200 people, has raised a Series B, and has offices across the US, UK, Europe and Australia. Current hiring spans Australia, India, the United States, Canada and the United Kingdom.
InfoSum uses Go, gRPC, Protocol Buffers, PostgreSQL, Redis and Kafka, deployed with Docker, Kubernetes, Terraform and Ansible on AWS, GCP and Azure, plus Snowflake, Databricks, Spark and HubSpot.
Yes. Engineering is the largest hiring area, alongside sales, support and security roles, including a Head of Infrastructure, though overall hiring velocity is currently minimal.
InfoSum is hiring in Australia, India, the United States, Canada and the United Kingdom, with headquarters in London.
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InfoSum'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.