Teams at Clover Security

Conduct research on AI security agent behavior by forming hypotheses, designing experiments, analyzing traces and failure modes, and building research harnesses. Develop AI projects from proof of concept through production, including algorithms, pipelines, memory, context, and evaluation systems. Monitor emerging models and research, publish findings, and present at industry conferences while supporting customer-facing AI infrastructure.

Build and own scalable, production-grade frontend experiences for Clover’s SaaS product. Responsibilities include designing and implementing features end to end, driving frontend architecture, improving component patterns and performance, collaborating with Product, Design, and Backend, and raising standards for accessibility, consistency, testing, quality, and delivery velocity.

Analyze AI agents and product features to identify performance patterns, edge cases, and improvement opportunities. Define AI performance metrics, build scalable analysis tools and pipelines, and translate findings into prioritized product direction. Partner with product, engineering, customers, and field teams to improve customer value and growth. The role also evaluates AI and ML product quality, supports cross-functional decisions, and may mentor analysts or establish analytical standards.