Store operations and frontline communications platform for retail brands
Zipline builds software that connects retail headquarters with store teams for communications, task execution and learning. Its stack pairs a Ruby on Rails, PostgreSQL and React core with an ML layer of PyTorch, Hugging Face, LangChain and Vertex AI, which fits active work on moving the core platform to an AI-first design. Hiring is minimal and focused on senior product and support roles, pointing to roadmap ownership rather than headcount scaling.
Zipline is a privately held software company headquartered in San Francisco, California, with 51–200 employees. It sells to retail brands that need store teams to carry out headquarters directives consistently. The product covers frontline communications, task management, learning and operational insights for store fleets. Engineering runs on Ruby on Rails, TypeScript and React across AWS and GCP, with BigQuery and Metabase supporting analytics.
Zipline uses Ruby on Rails, PostgreSQL, Redis, Elasticsearch, TypeScript and React, runs on AWS, GCP and Kubernetes with Terraform, and uses Python, PyTorch, LangChain and Vertex AI for ML work.
Job posts point to AI integration into the core platform, core platform roadmap development, custom customer integrations, identity management, and BigQuery data connector integrations.
Zipline is headquartered in San Francisco, California, United States, and has 51–200 employees.
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Zipline'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 →
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