Jobs at Faro Health Inc.

Lead end-to-end product design for enterprise clinical trial software, partnering with PMs, engineers, clinical SMEs, and data science. Create interaction patterns, prototypes, and polished designs that integrate AI, simplify complex workflows, and scale across the platform. Conduct user research, usability testing, and contribute to the design system while mentoring other designers.

Develop and deliver scalable, distributed SaaS features for a clinical-trial software platform. Responsibilities include architecture and hands-on development, engineering best practices, technology innovation, cross-service and AI-powered feature integration, real-time systems, customer-focused product delivery, and mentoring software engineers. The role collaborates closely with a fast-moving team and contributes to the product roadmap.

Develop and ship full-stack SaaS features across frontend and backend services. Solve moderately complex technical problems, work with microservices and cloud systems, participate in code reviews, mentor junior engineers, and maintain engineering quality. The role requires proficiency in TypeScript or Python with willingness to learn both, collaboration with customers and teammates, and adaptability in a fast-moving startup. Experience with AI-powered features, regulated healthcare, or clinical trials is advantageous.

Leads end-to-end technical implementations of Faro’s AI-powered clinical trial platform across customer environments. Owns infrastructure setup, SSO/SAML, identity configuration, service accounts, APIs, integrations, JSON data mappings, and custom AI prompts. Troubleshoots implementation issues, translates customer requirements into technical solutions, builds scalable playbooks, and manages a project manager. Partners with customer IT, DevOps, Product, Engineering, and other internal teams from technical discovery through go-live.

Lead strategy, roadmap, and delivery for a major product area in clinical development. Drive customer discovery, design AI-enabled workflows (LLMs, RAG, agents), partner with Engineering and Data Science, define success metrics, and mentor junior PMs to deliver measurable adoption and customer outcomes.