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Zingtree

No-code platform for AI CX workflows

SaaS Solutions Architect - Post Sales Implementation

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 4 years of experience in solutions architecture, customer engineering, or technical project implementation, including at least 2 years in enterprise B2B SaaS; customer support or contact center solutions and startup experience are preferred.
  • Hands-on experience with automation technologies and integration architectures, including application programming interfaces, authentication protocols, middleware, web services, and messaging patterns.
  • Proficiency with technologies for conversational AI, including large language models, prompt engineering, AI-led agentic workflows, and real-time decisioning.
  • Strong front-end skills in JavaScript, CSS, and JSON, and familiarity with ETL and data transformation.
  • Ability to digest complex business requirements and design comprehensive, integrated workflow solutions adaptable to client needs.
  • Ability to troubleshoot technical challenges, collaborate across functions, understand operational processes, and identify opportunities to condense or optimize processes.
  • Experience interfacing with customers to manage expectations, resolve issues, and ensure project success; ability to explain technical topics to non-technical audiences, including executives.

Responsibilities

  • Design, demonstrate, and build tailored AI-driven and conversational workflows aligned with customer support objectives, using 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, define project goals, and identify opportunities for conversational automation.
  • Serve as the primary technical point of contact for clients throughout the project lifecycle, provide regular updates, manage expectations, and translate requirements between client business and IT resources and internal team members.
  • Identify and mitigate project risks and resolve technical and process-related issues to prevent project delays.
  • Guide user acceptance testing with clients to ensure conversational workflows and integrations meet functional and experience goals.
  • Participate in platform and user training to equip customers to build and maintain AI-enabled conversational flows, workflows, and reporting.
  • Ensure successful go-live execution and transition customers to Customer Success and Support for ongoing enhancements and support.
  • Coordinate multiple SaaS implementation projects concurrently, balancing technical execution, AI workflow development, and client alignment within defined timelines and scopes.

Desired Qualifications

  • Experience integrating with CRMs, especially Salesforce and Zendesk.

About the Company

Zingtree

No-code platform for AI CX workflows

Zingtree helps enterprises automate and guide customer interactions by building AI-powered workflows and decision trees without code. Its platform connects to CRM and help desk systems like Salesforce and Zendesk to pull customer data, then provides context-aware guidance to customer service agents. Agents use the decision trees and workflows to resolve complex issues more efficiently while staying compliant with policies and brand guidelines. Compared to other CX tools, Zingtree emphasizes no-code, enterprise-grade decision trees and AI-assisted workflows that can be deployed across contact centers, product support, and software teams, with integrations that fit into existing IT stacks. The company’s goal is to improve first-contact resolution and customer satisfaction by standardizing and accelerating agent decision-making through process automation and data-driven guidance.

Company size
11-50
Company stage
Series A
Total funding
$15M
Headquarters
San Francisco, CA
Founded
2014

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