[Hiring] Senior AI Project Manager @NICE

Role Description

We are seeking an AI delivery‑focused Project Manager to support customer‑facing software and AI/GenAI projects from initiation through closure. In this role, you will manage day‑to‑day project delivery, coordinate with technical and business stakeholders, and ensure clear communication across teams. You will help drive execution, manage risks and dependencies, and support a predictable, high‑quality customer experience.

• Manage software and AI/GenAI delivery projects, ensuring alignment with scope, timelines, and customer expectations.
• Build and maintain project plans, schedules, RAID logs, and core delivery documentation.
• Communicate project status, risks, and dependencies to customers and internal stakeholders.
• Support escalation handling with professionalism and timely follow‑through.
• Coordinate cross‑functional teams through the project lifecycle.
• Contribute to PMO best‑practice adoption and continuous improvement efforts.
• Adjust project plans based on changing priorities or customer needs.

Qualifications

• 5+ years managing customer‑facing software or SaaS delivery projects.
• Experience delivering projects across Agile, Waterfall, or hybrid methodologies.
• Exposure to technical, SaaS, and/or AI/GenAI project environments.
• Strong problem‑solving and risk‑management abilities.
• Effective communication, organization, and stakeholder‑engagement skills.
• Proficiency with project management tools (MS Project, Salesforce, Rocketlane, Power BI preferred).
• PMP certification preferred.

Requirements

• AI Delivery Experience (Preferred)
• Manage software delivery of conversational AI, LLM, or NLU projects.
• Ability to assess AI use cases at a basic level and support evaluation of data readiness.
• Partner with technical teams to understand model performance and output quality considerations.
• Support customer expectation‑setting across AI/GenAI implementations.
• Help identify and track AI‑specific risks (e.g., data issues, model behavior, hallucinations).
• Familiarity with prompt engineering concepts and prompting limitations.
• Use AI tools in daily work for automation, analysis, or documentation.
• Assist with monitoring and reporting AI performance KPIs.
• Awareness of AI cost drivers such as token usage and model selection.
• Understanding of AI governance and safety basics, including guardrails and data‑handling practices.

Benefits

• Join an ever-growing, market disrupting, global company.
• Work in a fast-paced, collaborative, and creative environment.
• Endless internal career opportunities across multiple roles, disciplines, domains, and locations.
• Opportunity to learn and grow as the market leader.