Partnership automation platform for affiliate and performance marketers
Partnerize runs a SaaS platform covering partner discovery, recruitment, payments, brand safety and fraud prevention for marketers. Its job posts point to a major infrastructure overhaul: moving an on-prem estate onto Kubernetes (RKE2, Cilium, ArgoCD, Helm), alongside integrating Konnecto's data and AI layers. Senior-heavy, engineering-led hiring is accelerating, with SOC 2 and MRC accreditation work running in parallel.
Notable leadership hires: Director of Engineering
Partnerize, founded in 2010 and headquartered in New York, provides a single platform for managing the full partnership marketing lifecycle, from finding and recruiting partners to optimizing, paying and protecting programs against fraud. It serves marketers looking to grow revenue through affiliate, brand and performance partnerships, and offers in-housing support for clients. The privately held company has 201–500 employees and offices including London, Amsterdam, Singapore, Sydney, Tokyo and Shanghai. Current hiring spans the United States, United Kingdom and Israel.
Partnerize runs PHP, Node.js, TypeScript, NestJS and Python on AWS, with MySQL, PostgreSQL, MongoDB, Redis, Snowflake and Druid for data, plus Kubernetes, Terraform, ArgoCD and Helm for infrastructure.
Yes. Engineering leads Partnerize's accelerating hiring, skewed toward senior and lead roles plus a Director of Engineering, with ops, sales and support also recruiting in the US, UK and Israel.
Partnerize is rolling out a new Kubernetes platform, containerising its on-prem estate, integrating Konnecto's data and AI layers, building deployment pipelines and observability, and pursuing SOC 2 and MRC accreditation.
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Partnerize'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.