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 improve Replicant’s AI-native platform infrastructure, including site reliability, CI/CD, developer tooling, observability, incident management, and agent harness systems. Own production infrastructure patterns, deployment workflows, and developer self-service across Kubernetes and cloud environments. Participate in on-call and incident response while improving scalability, availability, and operational efficiency for real-time conversational AI traffic.

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.