Two-sided marketplace matching clients with Taskers for home services
Taskrabbit runs a home-services marketplace on Ruby on Rails, Node.js/NestJS and TypeScript, with Kafka eventing, Kubernetes managed via ArgoCD and Crossplane, and a dbt/Airflow/Snowflake data layer. Adoption of SAP, Oracle and NetSuite alongside an ERP revenue recognition project points to a finance-systems overhaul, while ops-heavy, senior-skewed hiring targets Tasker retention, marketplace losses and security maturity.
Notable leadership hires: Marketing Lead
Taskrabbit operates a marketplace that connects consumers with independent Taskers for everyday home jobs such as furniture assembly, handyman repairs and moving help. Founded in 2008 and headquartered in San Francisco, the company has been part of IKEA Group since 2017. Its network spans eight countries and more than 75 cities. The company employs 201–500 people and is currently hiring in the United States, Canada and the United Kingdom across ops, engineering, data, marketing, security, finance and product.
Taskrabbit uses Ruby on Rails, TypeScript, Node.js, NestJS, Next.js and Python, with MySQL, Kafka, AWS, Kubernetes, ArgoCD, Datadog, and a dbt, Airflow and Snowflake data stack. Stripe handles payments and Zendesk supports customers.
Signals point that way: Taskrabbit is adopting SAP, Oracle and NetSuite, and job posts reference an ERP revenue recognition module implementation tied to ASC 606 compliance and revenue close improvements.
Taskrabbit is hiring in the United States, Canada and the United Kingdom, with openings across ops, engineering, data, marketing, security, finance and product. Its headquarters is in San Francisco, CA.
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Taskrabbit'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.