Teams at Replicant

Lead Replicant’s product design practice while remaining approximately 80% hands-on. Own the end-to-end enterprise customer experience, information architecture, design-system governance, research, prototyping, validation, and integration of product and conversation design. Influence cross-functional teams, establish design standards, guide hiring and development, and design AI and conversational experiences with strong failure recovery, trust, and usability.

Build Replicant’s internal AI enablement program by developing reusable agent workflows, MCP integrations, agent identity management, enterprise SaaS connections, and cost visibility mechanisms. Partner with Sales, Delivery, Engineering, Finance, People, and other teams to identify opportunities, implement secure AI solutions, create shared templates and skills, build AI literacy, and develop internal champions. Optimize AI infrastructure through prompt caching, model routing, tool consolidation, and improved agent design.

Lead the quality engineering efforts for Replicant's AI platform by defining standards, improving testing strategies, and mentoring a QA team to ensure high-quality outputs across software systems.