AI-powered mobile and cross-channel customer experience platform
Airship operates a mobile-first customer experience platform built on GCP infrastructure (Bigtap, Pub/Sub, BigQuery, Cloud SQL) that orchestrates campaigns across push notifications, in-app messaging, SMS, and web. The hiring mix is heavily sales and marketing-focused (13 of 22 active roles), with only 2 engineering positions open—a pattern that suggests the product is maturing and GTM execution has become the priority. Payroll and international compliance challenges surface in projects and pain points, indicating rapid geographic expansion into Germany, Singapore, and the UK.
Notable leadership hires: Strategic Partnerships Director
Airship is a customer experience platform that enables brands to design and execute cross-channel journeys combining push notifications, in-app messaging, mobile wallet passes, SMS, and web experiences. The product uses AI-driven personalization and journey orchestration to drive customer retention and revenue. Founded in 2009, the company operates across North America, Europe, and Asia-Pacific, with a customer base spanning global enterprises across retail, travel, finance, and other verticals. The platform integrates with Salesforce, Twilio, and advertising channels (Apple Search Ads, Google Ads) to connect customer interactions across touchpoints.
Airship runs on Google Cloud Platform (GCP) with Bigtable, Pub/Sub, BigQuery, and Cloud SQL for core infrastructure. Analytics stack includes Looker, Tableau, and Chartio. Design tools: Figma, Sketch, Adobe Creative Suite. Integrations: Salesforce, Twilio, Crossbeam.
Airship is hiring in Germany, United Kingdom, and Singapore alongside the United States. Projects include managing international payroll compliance and establishing standardized processes, reflecting multi-region growth.
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Airship'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.