AI shopping agent that finds and recommends products across the web
Wizard AI builds a consumer AI shopping agent, and its stack shows a serious search-and-ranking engine underneath: Elasticsearch, OpenSearch, Solr and Vespa for retrieval, LightGBM, XGBoost and ONNX for ranking, plus Spark and Databricks for data processing. Hiring is accelerating and skews senior and engineering-led. Lifecycle tools like Braze, Iterable and Klaviyo, together with stated pains around activation and retention, point to a parallel push on user growth.
Notable leadership hires: Chief of Staff
Wizard AI is a privately held company founded in 2021 and headquartered in New York City. It develops an AI shopping agent that surfaces products from across the web for consumers. The team is in the 51–200 employee range and is hiring in the United States. Its product spans mobile, web and messaging surfaces, backed by backend services, APIs and inference pipelines that power the agent.
Wizard AI uses Python, TypeScript, Node.js and React on AWS, GCP and Azure. Its search and ranking layer includes Elasticsearch, OpenSearch, Vespa, LightGBM and XGBoost, with Databricks and Spark for data.
Yes. Hiring is accelerating and centers on senior engineering roles, alongside data, product and marketing positions plus a Chief of Staff. All hiring is in the United States.
Wizard AI is building conversational and agentic AI features across mobile, web and messaging. It is also working on inference pipelines, agent planning, retrieval and orchestration logic, and a rebuilt onboarding system.
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Wizard AI'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.