Operating system for appointment-based businesses with embedded payments and marketing
GlossGenius operates a full-stack SaaS platform for salons, spas, and wellness practices, combining booking, payments, client management, and marketing in a single product. The tech stack is polyglot (React, Rails, Kotlin, Scala) with heavy investment in payment infrastructure (fraud detection, chargeback workflows, real-time reporting) and emerging AI features — a pattern that reflects both maturation of core transaction systems and new product expansion. Active hiring is weighted heavily toward engineering (11 roles), with leadership gaps in security and ops maturity signaling scaling challenges common to fintech-adjacent platforms handling billions in annual payment volume.
Notable leadership hires: Creative Director
GlossGenius provides an all-in-one platform designed for independent appointment-based service providers — primarily beauty and wellness businesses — to manage bookings, client data, payments, and marketing from a single dashboard. The company reports over 100,000 active customers and processes billions in annual payment volume. Beyond transaction volume, the platform embeds financial services and claims an average 26% first-year revenue increase for its customer base. The product is built across distributed infrastructure (Kubernetes, AWS, GCP), with data systems spanning PostgreSQL, Snowflake, and ClickHouse, indicating analytical and transactional workloads at scale. The company is based in New York, founded in 2016, and currently employs 51–200 people.
Frontend: React, React Native, Redux, TypeScript. Backend: Ruby on Rails, Kotlin, Micronaut, Scala, Python. Infrastructure: AWS, GCP, Azure, Kubernetes, Terraform. Data: PostgreSQL, Snowflake, ClickHouse, Looker. Payment/integration tools: Ramp, NetSuite.
GlossGenius has open positions in the United States, Canada, and Colombia. Headquarters is in New York, NY.
GlossGenius'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.