Restaurant team management platform with scheduling, payroll, and compliance tools
7shifts operates a restaurant operations platform covering scheduling, payroll, and compliance for multi-location operators. The tech stack reveals an analytics and compliance-heavy infrastructure: Snowflake + BigQuery + dbt for data warehousing, Datadog for observability, and active projects in SOC 2 drift detection and synthetic data tooling — suggesting the company is investing heavily in compliance automation and data governance maturity. Hiring has accelerated across marketing and product, with security and data roles staffed, indicating a push toward both revenue scaling and operational risk mitigation.
7shifts is a restaurant team management platform founded in 2014 and headquartered in Saskatoon, Saskatchewan. The product serves restaurant operators with tools for staff scheduling, payroll processing, labor forecasting, compliance tracking, and team communication. The platform claims adoption by 1.5 million restaurant professionals and targets efficiency and profitability gains through labor cost reduction, schedule optimization, and task automation. The company operates at 201–500 employees and is privately held.
7shifts builds on Python and Go for backend services, Kotlin and Swift for mobile (Android/iOS), and runs on Kubernetes and GCP. Data infrastructure includes Snowflake, BigQuery, and dbt. Analytics and observability via Datadog, Looker, and Mixpanel. Marketing runs on Salesforce, Marketo, and Braze.
Active projects include AI-assisted workflow automation, automated SOC 2 evidence collection and drift detection, synthetic data and masking tooling, paid acquisition optimization, and partner channel revenue strategies. Data infrastructure work includes warehouse and semantic layer development.
7shifts'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.