[Remote] AI Project Manager, CX
Note: The job is a remote job and is open to candidates in USA. NiCE is a global company that excels in AI, cloud, and digital solutions, providing software products to over 25,000 businesses worldwide. 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
Skills
- 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
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