Community and engagement platform for publishers and digital media
OpenWeb operates a publisher-facing engagement platform built on Go, PostgreSQL, Elasticsearch, and Kafka—a stack shaped for high-throughput, distributed comment and conversation systems. Active pain points around scaling backend architecture and unifying post-sale teams suggest the company is transitioning from product-led growth toward a more operationally complex sales motion, evidenced by a hiring skew toward sales and leadership roles (4 of 7 open positions) across geographies.
OpenWeb builds conversation and community infrastructure for digital publishers and media brands. The platform handles moderation, engagement analytics, and social experiences at scale, servicing over 5,000 publishing partners and 150 million monthly active users. Founded in 2015 and headquartered in New York with offices spanning Tel Aviv, Kyiv, San Diego, Canada, London, and Paris, the company operates a globally distributed engineering and sales operation. Current organizational focus spans backend resilience (micro-services architecture, scalable process frameworks), post-sale alignment, and product commercialization initiatives.
OpenWeb's core stack includes Go, PostgreSQL, Elasticsearch, Kafka, and RabbitMQ for the backend; Node.js and Python for application logic; Kubernetes and Docker for containerization; Datadog, Prometheus, and Grafana for observability; and Salesforce for CRM.
Yes. Of 7 active roles, 4 are in sales (spanning director and manager levels), 1 in engineering, 1 in product, and 1 in ops. Hiring is active in Israel, the United States, and the United Kingdom with velocity accelerating.
OpenWeb's platform hosts more than 150 million active users monthly across partnerships with over 5,000 publishers and brands.
OpenWeb'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.