Payroll, spend and accounting software for film and TV production finance
Wrapbook builds a unified production-finance platform covering payroll, onboarding paperwork, accounting and cost tracking, running on Ruby on Rails with Hotwire, PostgreSQL and Redis. Its infrastructure is notably mature for its size: multi-cloud across AWS, GCP and Azure, with Kubernetes, Crossplane, Pulumi, Argo CD and Kargo, matching projects around an internal developer platform and cluster lifecycle automation. Senior-heavy hiring is accelerating across engineering and product.
Notable leadership hires: Engineering Director
Wrapbook is a privately held software company headquartered in New York, founded in 2018, with 201–500 employees. It serves finance teams at entertainment productions, combining payroll, startwork, accounting and cost management in a single system with AI-assisted features. The company pairs its software with a concierge-style customer support model. Go-to-market runs on Salesforce, and hiring is concentrated in the United States across engineering, product, sales and finance functions.
Wrapbook uses Ruby on Rails, Hotwire, Stimulus, PostgreSQL and Redis, with Go and Python, running on Kubernetes across AWS, GCP and Azure, plus Terraform, Pulumi, Argo CD, Snowflake and Salesforce.
Yes. Hiring is accelerating and led by engineering and product, skewed toward senior roles, with an Engineering Director among open leadership positions. All hiring is in the United States.
Wrapbook is building an internal developer and data platform, automating Kubernetes cluster lifecycle, extracting a lookup service, implementing AI-assisted workflows and improving Salesforce data hygiene and sales forecasting.
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Wrapbook'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.