AI-powered clinical trial protocol design and workflow automation
Faro builds an AI platform for clinical trial protocol development, structured around TypeScript/React front-end and Python back-end services on PostgreSQL and cloud infrastructure (AWS/Azure/GCP). The company is hiring across sales, customer success, and product teams while engineering remains lean—a pattern typical of early-stage B2B SaaS scaling customer operations faster than product velocity. Current focus centers on study modeling quality, data-driven features, and operationalizing customer onboarding and adoption at scale.
Faro is a clinical development platform that uses AI to streamline protocol design and automate downstream workflows for clinical trial teams. Founded in 2019 and based in San Diego, the company serves pharmaceutical and biotech organizations looking to reduce protocol development cycles and operational friction. The platform combines AI-assisted authoring with workflow orchestration, enabling teams to move from early concept through final protocol with fewer amendments and faster timelines. Core capabilities include study modeling, real-time insights for clinical teams, and cross-functional collaboration tools. The 11–50 person team is actively scaling customer-facing functions—sales, support, and product—while maintaining engineering efficiency through a modern TypeScript/Python/React stack deployed across AWS, Azure, and GCP.
Faro's stack includes TypeScript, Python, React, and Node.js for application development, PostgreSQL and MySQL for data, Redis for caching, and Docker for containerization. The platform runs on AWS, Azure, and GCP.
Faro is headquartered in San Diego, California, and currently hiring exclusively in the United States across sales, customer success, product, and engineering teams.
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