Client Services Project Manager, CX

NiCE is a global company known for its innovative software products that enhance customer experiences and ensure public safety. They are seeking a motivated Project Manager to support customer-facing software and AI-enabled delivery projects, focusing on project coordination, documentation, and communication in an AI-driven environment.

Responsibilities:

• Manage delivery of software and AI-enabled projects under guidance of senior project managers
• Maintaining project plans, schedules, RAID logs, and delivery documentation
• Track project progress, risks, and dependencies and escalate as needed
• Prepare and contribute to customer and internal status communications
• Coordinate meetings, action items, and follow-ups across cross-functional teams
• Support adherence to delivery processes, PMO standards, and best practices
• Adapt to changing project priorities while maintaining attention to detail

Requirements:

• Manage delivery of software and AI-enabled projects under guidance of senior project managers
• Maintaining project plans, schedules, RAID logs, and delivery documentation
• Track project progress, risks, and dependencies and escalate as needed
• Prepare and contribute to customer and internal status communications
• Coordinate meetings, action items, and follow-ups across cross-functional teams
• Support adherence to delivery processes, PMO standards, and best practices
• Adapt to changing project priorities while maintaining attention to detail
• Up to 4 years of experience supporting customer-facing software or SaaS projects
• Foundational understanding of AI, Agile, Waterfall, or hybrid delivery methodologies
• Developing problem-solving and risk-awareness skills
• Strong written and verbal communication skills with attention to detail
• Familiarity with project management tools such as Smartsheet, Jira, MS Project, or Salesforce
• Exposure to software delivery involving conversational AI or AI-enabled platforms
• Basic understanding of AI, LLM, or NLU concepts and terminology
• Ability to follow and document AI-related requirements and risks
• Support customer expectation-setting with guidance from senior team members
• Awareness of common AI risks such as data quality or model limitations
• Familiar in learning prompt engineering concepts and AI performance metrics
• Comfort using AI-powered tools for productivity, documentation, or analysis
• Experience working in AI, technical, or SaaS environments preferred
• PMP, AI, or similar certification a plus