AI Project Management Manager

Join our Customer Experience organization as a Senior AI Project Manager. In this role, you will manage customer-facing software and AI delivery projects from initiation to closure, ensuring clear communication, predictable execution, and a high-quality customer experience. You will coordinate cross-functional teams, communicate project status to stakeholders, and contribute to PMO best-practice development. The ideal candidate has 5+ years of experience managing customer-facing software or SaaS delivery projects, a strong problem-solving mindset, and familiarity with AI concepts.

• Manage software and AI delivery projects end to end, ensuring alignment with scope, timelines, and customer expectations across the full project lifecycle.
• Build and maintain project plans, schedules, and core delivery documentation to support transparency and accountability across teams.
• Communicate project status, risks, and dependencies clearly to enterprise customers and internal stakeholders, including executive leadership.

• Effective stakeholder engagement skills, with demonstrated ability to operate across both technical and executive audiences
• A player-coach mindset, with the ability to lead by example, stay close to the work, and develop the people around you
• Strong problem-solving and risk-management abilities, with a bias toward proactive communication over reactive escalation
• Experience delivering projects across Agile, Waterfall, or hybrid methodologies in technical or AI-adjacent environments
• PMP certification preferred
• 5+ years managing customer-facing software or SaaS delivery projects, with a track record of successful enterprise-scale engagements
• Comfort identifying and tracking AI-specific risks including data quality issues, model behavior, and hallucination-related considerations
• Active use of AI tools in daily work for automation, analysis, or documentation
• Ability to assess AI use cases at a foundational level and support evaluation of data readiness and model performance considerations
• Familiarity with prompt engineering concepts, AI governance basics, and guardrails as they relate to enterprise deployments
• Experience helping customers set realistic expectations across AI and generative AI implementations
• Experience managing conversational AI, LLM, or NLU delivery projects in a customer-facing context