Accounting, invoicing, payments and payroll software for small businesses
Wave HQ sells online accounting, invoicing, payments and payroll tools to small business owners from Toronto. Its job posts cluster around payments risk: fraud losses, false positives, manual review load and chargebacks, alongside a payments infrastructure migration. A mature data stack (Databricks, Spark, Kafka, Debezium, Hudi, SageMaker, MLflow) and Braze-driven lifecycle marketing suggest real-time fraud detection and journey automation are current priorities.
Wave HQ is a privately held software company headquartered in Toronto, Ontario, with 201–500 employees. It builds cloud-based money management tools for small business owners, spanning accounting, invoicing and payments, payroll and receipt handling. The product is built on Python, Ruby, Django, React and JavaScript, running on AWS with Docker and Terraform. Current hiring is concentrated in Canada and weighted toward senior product and marketing roles, with additional openings in design, engineering, finance, operations and security.
Wave HQ uses Python, Ruby, Django, React and JavaScript on AWS, with Databricks, Apache Spark, Kafka, Debezium, Hudi, Redshift and Airflow for data, SageMaker and MLflow for ML, and Datadog and PagerDuty for monitoring.
Job posts point to real-time fraud detection, fraud rules tuning, chargeback process improvements, a payments infrastructure migration, platform modernization and automated customer journeys across email, in-product and push channels.
Wave HQ is headquartered in Toronto, Ontario, Canada, and current hiring is focused in Canada, with hiring activity accelerating across product, marketing and other teams.
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Wave HQ'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.