SaaS Solutions Architect (Post Sales Implementation)

Posted 7 months agoViewed

112200.0 - 168300.0 USD per year

United StatesFull-TimeSaaS

Company:

Location:United States, EST

Languages:English

Seniority level:Middle, 4+ years

Experience:4+ years

Skills:

AWSProject ManagementSQLData AnalysisETLHTMLCSSJavascriptSalesforceSoftware ArchitectureAPI testingCI/CDRESTful APIsJSONData visualizationSaaSTroubleshootingClient relationship managementTechnical supportCRM

Requirements:

4+ years in a solutions architect, customer engineering, technical project implementation roles, with at least 2+ years in enterprise B2B SaaS, preferably in customer support or contact center solutions, and with start-up experience.
Proven hands-on experience with automation technologies and integration architectures, including APIs, authentication protocols, middleware, web services, and messaging patterns.
Proficiency in technologies enabling conversational AI—such as large language models (LLMs), prompt engineering, AI-led agentic workflows, and real-time decisioning.
Strong front-end skills (JavaScript, CSS, JSON) and familiarity with ETL/data transformation.
Experience integrating with CRMs (especially Salesforce and Zendesk) is a significant plus.

Responsibilities:

Design, demo and build tailored AI-driven and conversational workflows that align with customer support objectives.
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 (User Acceptance Testing) 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.