Partnership automation platform with discovery, recruitment, and fraud prevention
Partnerize operates a partnership automation platform for performance marketers, built on a polyglot stack (Python, Ruby, PHP) with Kafka, PostgreSQL, MySQL, and Redis at its core. The company is mid-infrastructure-maturity: actively adopting Kubernetes and Docker while managing a hybrid on-prem and cloud estate. Engineering dominance in the hiring mix (20 of 32 open roles) paired with active projects on containerization, observability, and an internal developer platform suggests Partnerize is in active debt repayment mode—modernizing legacy operational models to scale the platform.
Notable leadership hires: Key Accounts Director
Partnerize is a partnership automation platform headquartered in New York with offices across North America, Europe, Asia-Pacific, and the Middle East. The platform provides marketers with integrated tooling for partner discovery, recruitment, optimization, payment processing, brand safety, and fraud detection across the full partnership lifecycle. The company operates at 201–500 employees and sells to mid-market and enterprise marketing teams looking to diversify revenue streams beyond primary sales and marketing channels. Partnerize has grown since 2010 and recently acquired Konnecto, integrating its data and AI layers into the platform.
Partnerize runs on AWS and GCP, with PostgreSQL, MySQL, MongoDB, and Redis for storage; Kafka and RabbitMQ for messaging; Python, Ruby, and PHP for application code; and Kubernetes and Docker for orchestration. Observability is built on Prometheus, Grafana, and Elasticsearch.
Yes. Partnerize has 32 active roles, with 20 in engineering—split heavily toward senior (13 open) and lead (11 open) positions. Hiring is accelerating across United Kingdom, United States, and Israel.
Partnerize is headquartered in New York, NY, with 10 additional offices in Amsterdam, Forty Fort (Ireland), London, Newcastle, Singapore, Shanghai, Sydney, and Tokyo.
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.