SaaS Solutions Architect (Post Sales Implementation)

Design, demo and build tailored AI-driven and conversational workflows that align with customer support objectives. Leverage decision trees and natural language interfaces to streamline complex support interactions. Collaborate with client IT teams to configure and integrate Zingtree with CRMs, APIs, and third-party platforms—ensuring reliable data exchange and conversational AI compatibility. Lead onboarding sessions to gather business requirements, understand customer support processes, and define project goals, with a focus on identifying opportunities for conversational automation. Act as the primary technical point of contact for clients throughout the project lifecycle, providing regular updates and managing expectations. Operate as the technical liaison to translate requirements between client business and IT resources, as well internally with team members. Identify and mitigate project risks; resolve technical and process-related issues to prevent project delays. Guide UAT with clients, ensuring conversational workflows and integrations meet functional and experience goals. Participate in platform and user training sessions to ensure customers are equipped to build and maintain AI-enabled conversational flows, workflows, and reporting. Ensure successful go-live execution and provide a seamless transition to Customer Success and Support for ongoing enhancements and support. Coordinate and collaborate on multiple SaaS implementation projects concurrently - balancing technical execution, AI workflow development, and client alignment within defined timelines and scopes.