Maisa sells an agentic automation platform where AI digital workers handle exception-heavy enterprise processes with programmatic, auditable execution. Hiring is dominated by senior support and implementation roles across Spain and the US, showing that growth runs through hands-on customer deployments: solution design, configuration in Maisa Studio and handover. The Go, Python, Kafka and Kubernetes backend on AWS and Azure points to a microservices core built for enterprise workloads.
Maisa is a San Francisco-headquartered, privately held company founded in 2024 with 51–200 employees. It builds an agentic process automation platform whose digital workers combine AI reasoning with programmatic execution for complex, decision-heavy enterprise work. Target use cases include compliance, finance, onboarding, legal intake and issue resolution. Customers configure digital workers in Maisa Studio, supported by implementation teams that run process discovery, onboarding and training. The company hires in the United States and Spain.
Maisa's backend uses Go, Python, Kubernetes, Kafka, Redis, MongoDB and GraphQL on AWS and Azure, with Playwright, Cypress and Selenium for testing and HubSpot plus Apollo for sales.
Yes, hiring is accelerating, led by senior support and implementation roles, with additional engineering, sales and marketing openings in Spain and the United States.
Maisa is focused on deploying and handing over digital workers, designing solutions, configuring workers in Maisa Studio, building reusable solution patterns and running enterprise-wide platform rollouts.
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Maisa'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.