Teams at Replicant

Lead Replicant’s product design practice while remaining approximately 80% hands-on. Own the end-to-end customer experience, information architecture, design-system architecture and governance, research, prototyping, validation, and integration of product and conversation design. Lead and grow designers, influence cross-functional teams, drive change, establish priorities, and design enterprise AI and conversational products across graphical and voice interfaces.

Build and lead Replicant’s company-wide AI enablement program. Develop MCP integrations, shared agents, agent identity management, enterprise tool connections, reusable AI workflows, and cost-visibility mechanisms. Partner with Sales, Delivery, Finance, People, Engineering, and other teams to identify opportunities, implement solutions, promote AI literacy, and develop internal champions. Optimize AI systems through model routing, prompt caching, better agent design, and secure infrastructure.

Design, build, and operate customer-specific AI agents end-to-end: map workflows, write prompts and conversation flows, integrate with customer APIs, create test sets, monitor live conversations, debug production issues, and iterate on agent quality with product feedback.