Expert recommendation platform connecting brands with verified retail experts
ExpertVoice runs a platform where brands reach verified retail associates and industry pros through product education, seeding and pro-deals. Its stack pairs React/TypeScript front ends with Java Spring Boot and Python FastAPI services on AWS, and it already uses OpenAI, Anthropic and Gemini models. Recent engineering-heavy hiring targets LLM-driven product features plus automation and CI/CD work to cut manual effort.
ExpertVoice is a privately held company headquartered in Salt Lake City, Utah, founded in 2004 and employing 51–200 people. It operates a community of verified experts, mainly retail sales associates and industry professionals, who learn about products and pass recommendations on to consumers. Brands use the platform for product seeding, pro-deal offers, educational content, reviews and sentiment research aimed at lifting retail sell-through. The company sells to consumer brands and runs a sales motion supported by Salesforce and LinkedIn Sales Navigator.
ExpertVoice uses React, TypeScript, Java with Spring Boot and Hibernate, Python with FastAPI and Flask, and Go. It runs on AWS with Docker and Terraform, and uses OpenAI, Anthropic and Gemini models.
Yes. Hiring is accelerating and centers on engineering, with some marketing roles. All of it is in the United States. The work focuses on LLM-based features, internal tooling and CI/CD improvements.
ExpertVoice is building AI product features that integrate LLMs and launching an order tracking integration. It is also creating internal tools for data cleaning, model evaluation and content generation, plus templated lessons and campaign pages.
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ExpertVoice'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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