AI shopping agent platform with conversational search and recommendations
Wizard builds an AI shopping agent that handles product discovery and checkout across web and mobile. The stack—Python, Node.js/TypeScript, React, PostgreSQL/MongoDB, Databricks, Elasticsearch, and ML inference tools (LightGBM, XGBoost, ONNX)—reflects a backend-heavy, data-intensive system designed to power real-time agent reasoning and ranking. Active hiring is concentrated in senior engineering and data roles, while projects focus on agent planning, retrieval, and orchestration logic alongside critical infrastructure work (onboarding rebuild, lifecycle systems, API layer), suggesting the team is moving from prototype to production-grade reliability.
Notable leadership hires: Chief of Staff
Wizard is an AI shopping agent platform founded in 2021 that automates product search and recommendations across the web for end consumers. The company operates from New York and is backed by a 51–200-person team. The product surface spans conversational interfaces on mobile, web, and messaging channels. The technical foundation includes orchestration for agent planning and retrieval, multimodal interactions, error-recovery patterns, and inference pipelines built on cloud infrastructure (AWS, GCP, Azure) and data platforms (Databricks, Elasticsearch). Current focus areas include scaling the system to handle higher traffic and partner integrations, improving agent accuracy, reducing latency, and operationalizing lifecycle marketing for growth.
Python, Node.js, TypeScript, React, PostgreSQL, MongoDB, Databricks, Elasticsearch, LightGBM, XGBoost, ONNX, AWS, GCP, Azure, Docker, Kubernetes, Shopify, and Braze/Iterable/Klaviyo for marketing automation.
New York City, New York. The company was founded in 2021 and is privately held with 51–200 employees.
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.