AI-native customer research repository and insights analysis platform
Marvin builds an AI-native platform where teams store, analyze and share customer research, with product work centered on an AI chat interface and an AI interviewer. Its stack pairs a Django/Celery/PostgreSQL backend and Go services with React and Next.js, while Selenium and Appium alongside job-post pain points about unreliable end-to-end tests show QA maturity is still catching up. Accelerating, sales-led hiring across the US and India points to a go-to-market push.
Marvin, founded in 2020 and headquartered in Oakland, CA, offers a customer insights platform built around a central research repository, AI-assisted analysis and interview workflows. It serves product, UX design and research teams that run user interviews and qualitative studies and need findings shared across the business. The privately held company has 51–200 employees and hires in the United States and India. Its infrastructure runs on AWS, managed with Terraform and CloudFormation and monitored through Prometheus, Grafana and Datadog.
Marvin uses Django, Celery, Go, PostgreSQL and Redis on the backend, React and Next.js on the frontend, AWS with Terraform and CloudFormation, plus Datadog, Prometheus and Grafana for monitoring.
Marvin is building an AI-driven chat interface and an AI interviewer experience, expanding end-to-end test coverage across its products, and scaling content such as signature pieces, an article library and events.
Yes. Hiring is accelerating and leans toward sales, with additional mid- and senior-level roles in design, engineering, marketing and product across the United States and India.
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Marvin'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.