Drone and GNSS survey analytics platform for construction, mining and quarry sites
Propeller builds survey and worksite mapping software that turns drone, GNSS and LiDAR data into measurements for earthworks-heavy industries. Hiring is accelerating and skews heavily toward support and customer success, with Gainsight, Zendesk and Salesforce in the stack and active onboarding, health-tracking and renewal programs, which points to a company focused on adoption and retention across its installed base.
Notable leadership hires: Director of Engineering
Propeller, founded in 2014 and headquartered in Surry Hills, NSW, provides a GIS-based platform for mapping, measuring and managing industrial worksites. Its users work on construction sites, quarries, mines and landfills, and the offering pairs drone survey processing software with GPS hardware. The company employs 201–500 people and has offices in Denver, Manila and Amsterdam. The product runs on TypeScript, React, Python and Django on AWS and Kubernetes, with React Native mobile apps. It is currently hiring in the Netherlands, Australia, the United States, Germany, the Philippines and Brazil.
Propeller uses TypeScript, React, Node.js, Python, Django and Flask on AWS with Kubernetes and Terraform, plus React Native for mobile. GNSS and LiDAR handle survey data, and Salesforce, HubSpot and Gainsight run go-to-market.
Propeller is headquartered in Surry Hills, NSW, Australia, and also has offices in Denver, Manila and Amsterdam.
Yes. Hiring is accelerating, led by support and customer success, with roles in engineering, sales and marketing, including a Director of Engineering. Hiring spans the Netherlands, Australia, US, Germany, Philippines and Brazil.
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Propeller'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.