AI Orchestrator
[Your Company] · Remote / Hybrid / On-site · Full-time / Project-based / Contractor
Department: Product & Engineering
Reports To: Chief AI Officer
Compensation: Competitive, commensurate with experience
About the Role
Most organizations are hiring AI Orchestrators to manage the machines.
We need someone who understands that the machines aren’t the hard part.
The hard part is knowing when a human should decide, when AI should execute, and how those two things stay in rhythm as capability evolves. That’s not a pipeline problem — it’s a judgment problem. And it requires someone who respects both sides of the equation.
At [Your Company], AI is not infrastructure to be managed. AI is a team member with operational responsibility. Your job is to coordinate the full system: AI contributors, human contributors, client relationships, and the handoffs between them. You’re not standing between AI and the organization. You’re inside it, making the whole thing work.
What You’ll Actually Do
Design AI+Human Workflows
Identify where AI earns full ownership, where humans must lead, and where the handoff is the work. Build coordination patterns that don’t lose context when the baton passes.
Maintain the Integrity of the Handoff
The most expensive failure in AI-native operations isn’t a bad model output — it’s a broken transition. You’ll architect the moments where AI and humans exchange responsibility, and make sure nothing falls through.
Evolve What “Done” Looks Like
The division of labor between AI and humans is actively changing. You’ll run toward that shift, not away from it. Your role includes tracking that frontier and updating how the team operates accordingly.
Who You Are
You’ve been inside orchestration systems — you know what they can and can’t do, and you’re already thinking past them. You’ve hit the ceiling of “AI as tool to be managed” and you’re asking the bigger question.
You understand that the most important variable in any AI workflow isn’t the model — it’s the human context the model is missing. You design for that gap.
You don’t wait to be asked. You notice what’s breaking before it breaks, and you either fix it or surface it — clearly, quickly, without drama.
You’re comfortable with ambiguity, because AI-native operations are inherently in-progress. You contribute to the map while navigating without one.
What Matters Here
Required:
- ●Demonstrated experience building with LLMs in production — where real people and real stakes were involved
- ●Strong instincts for when AI should and shouldn’t own a decision
- ●Ability to design workflows that humans actually follow — not just technically correct ones
- ●Fluency with CRM or operational platforms as a system of record, not just a database
Valued:
- ●Experience on a team that uses AI as a participant, not a tool
- ●An opinion about what’s wrong with how most organizations currently approach AI
- ●Comfort operating with trust-based milestones rather than calendar-driven deadlines
- ●Prior exposure to B2B transformation, operational design, or customer value delivery
How We Work
Full-time / Project-based / Contractor engagement. Compensation reflects value delivered. Trust-based milestones replace calendar-driven deadlines.
If you need a manager to tell you what to do next, this isn’t the right fit. If you thrive when the work is real and the team trusts you to figure it out — read on.
To Express Interest
Tell us about a moment where the AI+Human handoff failed — and what you did about it.
That answer will tell us more than a resume.
[Your Company] is committed to building a diverse team. We evaluate on demonstrated judgment, not credentials.
Template: AI Orchestrator (AI+Human Edition) · Value-First Team · valuefirstteam.com
