Hive.co runs email, SMS and CRM marketing for event promoters, built on a Python/Django core with a heavy analytics layer: ClickHouse, Redshift, Spark, Kinesis and both Airflow and Dagster for orchestration. PyTorch and scikit-learn in the stack, plus a data-weighted, senior-heavy hiring mix and an open Product Head role, point to a push to formalize the data platform and AI product surface while maturing product operations.
Notable leadership hires: Product Head
Hive.co is a privately held software company headquartered in Kitchener, Ontario, founded in 2014. It provides a marketing platform for event promoters, letting them build revenue-focused email and SMS campaigns from their ticketing data. Core capabilities span email marketing, CRM and marketing automation for the events vertical. The company employs 51–200 people, runs on AWS with Kubernetes and Terraform, and integrates with tools such as Shopify, Salesforce and Meta Ads Manager.
Hive.co uses Python, Django, React and TypeScript, with ClickHouse, MySQL, MongoDB, Redshift and Elasticsearch for data, Airflow and Dagster for orchestration, and AWS, Kubernetes, Terraform and Datadog for infrastructure.
Yes. Data is Hive.co's most active hiring area, focused on senior roles tied to building its data platform and AI product surface, with additional hiring in product and support, all in Canada.
Hive.co is headquartered in Kitchener, Ontario, Canada, and currently hires in Canada.
Other companies in the same industry, closest in size
Hive.co'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.
