Nuuly runs a clothing rental business on a JVM-heavy stack (Kotlin, Spring, Micronaut, Kafka, Cassandra) across GCP, AWS and Azure, with BigQuery and Looker for analytics. The presence of LangChain, LangGraph, CrewAI, MCP and Cursor alongside an AI-powered development harness project shows engineering is building agentic tooling internally. Hiring is accelerating and ops-led, matching work on a custom warehouse management system.
Nuuly is a Philadelphia-based fashion rental company founded in 2019 that lets consumers rent and buy apparel as a lower-cost, more sustainable alternative to traditional purchasing. The company sits in the 51–200 employee range and hires in the United States. Operations span marketing, product, engineering, data, design and logistics, reflecting a business that runs its own fulfillment alongside a consumer-facing brand. Marketing work includes seasonal campaigns, product collaborations and brand partnerships.
Nuuly uses Kotlin, Java, Scala and Python with Spring and Micronaut, Kafka, Cassandra, Apache Spark and Kubernetes across GCP, AWS and Azure, plus BigQuery and Looker for analytics and GitLab CI/CD for delivery.
Yes, hiring is accelerating in the United States, led by operations, with engineering, marketing and product close behind, and a mix weighted toward junior and senior roles plus interns.
Nuuly is building a custom warehouse management solution, an AI-powered development harness, an artifact lifecycle system and AI agent instruction design, while maturing its platform into a scalable backbone.
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Nuuly'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.
