AI Program Lead

Summary

loomAI deploys continuously learning AI decision systems inside large enterprises in regulated industries. The AI Program Lead owns client-facing programs, senior stakeholder alignment, delivery momentum, and the communication of AI system behavior and limitations to client executives.

Responsibilities

• Run the client engagement — own the weekly rhythm, the status, the escalations
• Own alignment across the client ecosystem — AI initiatives cut across marketing, technology, data, operations, and compliance; you make sure none of those boundaries become blockers
• Manage senior stakeholder relationships across business and technology — including competing agendas and organizational politics
• Navigate competing priorities to keep delivery on track without burning the relationship
• Identify risks before they become issues and bring a proposed path forward
• Think about what comes next — how the engagement grows, what the client needs before they ask
• Own the value narrative with the client — translate what the AI system is delivering into business terms that resonate with executives
• Translate AI system behavior and limitations into plain language for client executives
• Know when to escalate a technical question versus when to answer it yourself
• Ensure client understanding of what AI is doing, how decisions are made, and where humans remain in the loop
• Use AI tools actively in your own program management work
• Work closely with our technical team — understand what they need from the client to succeed

Skills

• 3–6 years running client-facing programs in a consulting or professional services context
• Direct experience on AI, data, or analytics programs — not just general technology delivery
• Comfortable owning senior stakeholder relationships and managing hard conversations
• Experience aligning multiple functions across a large organization — AI initiatives don't stay in one lane and neither do you
• Can explain AI system behavior, trade-offs, and limitations to non-technical executives
• Actively using AI tools in your own work — not just aware of them
• Track record of delivering outcomes under pressure in ambiguous environments
• Financial services or insurance background
• Experience managing programs where AI or ML models were in production
• Consulting firm background (Big 4, boutique, or strategy firm)
• Salesforce ecosystem familiarity
• Understanding of AI governance, explainability, or regulated AI deployment
• Confirm you are authorized to work in the US without visa sponsorship
• Candidates must be authorized to work in the United States without visa sponsorship

Qualifications

Must Haves

• 3–6 years running client-facing programs in a consulting or professional services context
• Direct experience on AI, data, or analytics programs — not just general technology delivery
• Comfortable owning senior stakeholder relationships and managing hard conversations
• Experience aligning multiple functions across a large organization — AI initiatives don't stay in one lane and neither do you
• Can explain AI system behavior, trade-offs, and limitations to non-technical executives
• Actively using AI tools in your own work — not just aware of them
• Track record of delivering outcomes under pressure in ambiguous environments
• Financial services or insurance background
• Experience managing programs where AI or ML models were in production
• Consulting firm background (Big 4, boutique, or strategy firm)
• Salesforce ecosystem familiarity
• Understanding of AI governance, explainability, or regulated AI deployment
• Confirm you are authorized to work in the US without visa sponsorship
• Candidates must be authorized to work in the United States without visa sponsorship

Benefits

• Remote work
• Competitive rate, commensurate with experience
• Direct access to founders — real ownership from day one
• Exposure to enterprise AI deployments in complex, regulated environments
• Full-time conversion based on performance and growth, with equity opportunity