Teams at Cheiron

Build backend services and agent execution systems for AI-powered regulatory workflows. Responsibilities include developing agent runtimes, APIs, data models, retrieval and evidence pipelines, state management, tool execution, testing, monitoring, failure recovery, and production reliability. The role also involves translating customer needs into reusable product capabilities and collaborating with founders, engineers, domain experts, and customers.

Translate product concepts into engineering-ready specifications for AI-native pharmaceutical CMC software. Define feature stories, acceptance criteria, edge cases, data models, API contracts, and AI quality standards. Collaborate with product, engineering, design, and life sciences teams to resolve ambiguity, validate regulatory content, and own product quality through delivery.

Own the detailed technical definition of product features, translating concepts into engineering-ready specifications with data models, API contracts, acceptance criteria, edge cases, and state transitions. Collaborate with product, engineering, design, and life sciences teams to resolve ambiguity, validate regulatory content, define correctness for AI features, and maintain quality through delivery. The role focuses on AI-native products for pharmaceutical CMC workflows and requires strong technical writing, architectural reasoning, and comfort working in ambiguous startup environments.