AI-native billing, revenue recognition and collections automation platform
Zenskar builds finance automation software covering billing, usage metering, revenue recognition and collections, run on a polyglot backend of Python, Java and Go across AWS, GCP and Azure. An agent-oriented AI layer (OpenAI, Gemini, LangGraph, CrewAI, RAG) sits alongside an expanding agents marketplace, and accelerating engineering hiring in India, including a backend architecture lead, points to hardening the core platform for enterprise-scale correctness.
Notable leadership hires: Tech Lead Backend Architecture
Zenskar is a privately held company founded in 2022 and headquartered in New York, with 51–200 employees. It sells revenue automation software to finance teams, handling subscriptions, usage-based billing, custom contracts, revenue recognition and collections. The platform includes a conversational AI interface that lets finance staff query data and approve actions. Integrations with external business systems and migration support are part of the offering. Current hiring is concentrated in India across engineering and marketing.
Zenskar uses Python, Java and Go with FastAPI, Spring and Django, React on the frontend, Kubernetes and Terraform on AWS, GCP and Azure, GitLab CI/CD, and OpenAI, Gemini, LangGraph and CrewAI for AI agents.
Zenskar's current hiring is in India, focused on engineering and marketing, including a Tech Lead for backend architecture. Hiring velocity is accelerating.
Zenskar is building out its billing automation platform, a scalable pricing and usage data system, enterprise integrations and APIs, and an expanding marketplace of AI agents.
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Zenskar'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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