AI Program Manager / Project Manager

The Plumtree Group Global is seeking an AI Program Manager to lead AI engagements across multiple clients, driving strategy, execution, and delivery. The role requires a hands-on approach with AI tools, translating client needs into actionable solutions while managing project outcomes and stakeholder relationships.

Responsibilities:

• Own success metrics for each engagement (ROI, adoption, efficiency gains)
• Translate vague client needs into clear, actionable AI solutions
• Push clients toward better decisions—even when uncomfortable
• Work with AI engineers to shape solutions (agents, automations, ML systems)
• Rapidly validate ideas through POCs and prototypes
• Use AI tools (e.g., LLMs, automation platforms, no-code tools) to:
• Build quick demos
• Validate workflows
• Show clients tangible progress early
• Lead multiple projects/accounts simultaneously
• Operate within structured delivery frameworks (Agile or similar), ensuring clarity in scope, prioritization, and execution
• Use project management tools (e.g., ClickUp or similar) to manage tasks, track progress, and maintain visibility across projects
• Drive weekly progress, unblock teams, and maintain momentum
• Proactiveness and ability to get work done without requiring close follow-ups
• Contribute to internal process improvements and efficiencies
• Act as a trusted advisor, not just a point of contact
• Run sharp, outcome-driven client conversations
• Align leadership teams around priorities and trade-offs
• Identify high-impact AI use cases across client workflows
• Identify risks, gaps, and opportunities across engagements
• Challenge assumptions (internally and externally)
• Surface insights that improve both client outcomes and CoPilot’s playbooks

Requirements:

• Minimum Experience: 4-6 years
• Owns client outcomes end-to-end
• Thinks like a consultant + operator
• Is comfortable getting hands-on with AI tools and prototypes
• Can translate ambiguity into execution
• Lead AI engagements across multiple clients, driving strategy, execution, and delivery while working closely with engineers, designers, and leadership
• Own success metrics for each engagement (ROI, adoption, efficiency gains)
• Translate vague client needs into clear, actionable AI solutions
• Push clients toward better decisions—even when uncomfortable
• Work with AI engineers to shape solutions (agents, automations, ML systems)
• Rapidly validate ideas through POCs and prototypes
• Use AI tools (e.g., LLMs, automation platforms, no-code tools) to build quick demos, validate workflows, and show clients tangible progress early
• Lead multiple projects/accounts simultaneously
• Operate within structured delivery frameworks (Agile or similar), ensuring clarity in scope, prioritization, and execution
• Use project management tools (e.g., ClickUp or similar) to manage tasks, track progress, and maintain visibility across projects
• Drive weekly progress, unblock teams, and maintain momentum
• Proactiveness and ability to get work done without requiring close follow-ups
• Contribute to internal process improvements and efficiencies
• Act as a trusted advisor, not just a point of contact
• Run sharp, outcome-driven client conversations
• Align leadership teams around priorities and trade-offs
• Identify high-impact AI use cases across client workflows
• Identify risks, gaps, and opportunities across engagements
• Challenge assumptions (internally and externally)
• Surface insights that improve both client outcomes and CoPilot's playbooks
• High ownership: you act like the business depends on you
• Structured thinker: can break chaos into clarity
• Curious + adaptive: learns new tools and concepts rapidly
• Comfortable with ambiguity and fast-paced environments
• High degree of problem-solving and analytical thinking
• 3–5+ years in consulting, product, program management, or startup ops
• Experience working with technical teams (engineering, data, AI)
• Experience working with clients or stakeholders directly
• Proven ability to drive outcomes, not just manage tasks
• Be actively using AI tools in your workflow
• Understand what AI can/cannot do
• Be comfortable experimenting with LLMs, Automation tools, Basic prompt engineering/workflows
• Can move from idea → prototype → shipped solution quickly
• Strong communication (written + verbal)
• Can run structured problem-solving with clients
• Comfortable working with structured workflows, sprint-based execution, and task management tools (e.g., ClickUp, Jira, or similar)