AI Solution Lead
Contract-to-hire, remote role based in the US with competitive pay and equity upon conversion.
About the role
loom·ai deploys continuously learning AI decision systems inside large enterprises in regulated industries. The work is technically complex, the clients are sophisticated, and the stakes are real. We need someone who can own the client relationship, keep senior stakeholders aligned, and make sure momentum never stalls — on programs where AI is the core of what's being delivered.
You run the program. You own the room. In practice, this means you are the person the client calls. You run the weekly steering meeting, manage competing priorities across business and technology stakeholders, and make sure the right people have the right information at the right time. When something is about to go sideways, you know before it does. You also understand what's being built. Not at an engineering level — but well enough to ask the right questions, recognize when a technical decision has business consequences, and explain an AI system's behavior and limitations to a client executive who didn't ask for a technical briefing.
You've worked on AI programs before — implementations, deployments, transformations. You know the difference between a model that's been trained and a model that's been deployed. You know why "the AI said so" is not a sufficient answer in a regulated environment. That knowledge makes you a better program lead.
Responsibilities
Client & Program
- 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
AI Program Context
- 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
Requirements
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
Strong plus
- 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
Benefits
- 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