Overview
You work remotely for a solo consultant who runs two businesses almost entirely through AI workflows. Most marketing tasks are handled by Claude and automation tools. You're the human in the loop who reviews outputs, catches mistakes before they go to clients, fills gaps the AI misses, and keeps the operational plates spinning. This is not a traditional marketing role where you create content from scratch—it's more like being a project manager and QA specialist for AI workers.
Role Snapshot
| Aspect | Details |
|---|---|
| Role Type | Marketing Operations + AI Supervision |
| Sales Motion | N/A - Supporting backend operations |
| Deal Complexity | N/A - Support role |
| Sales Cycle | N/A |
| Deal Size | N/A |
| Quota (est.) | N/A |
Company Context
Stage: Solo operator, two parallel businesses (GTM advisory + AI education)
Size: 1 employee (you'd be first contract hire)
Growth: AI-native operation, designed to scale without traditional headcount
Market Position: Niche player serving PE/VC-backed health tech companies and senior leaders learning AI
What You'll Actually Do
Time Breakdown
QA/Review (40%) | Coordination (30%) | Gap-Filling (20%) | Admin (10%)
Key Activities
- Review AI-generated outputs: Check proposals, client prep materials, competitive research, and marketing content before they go out. Fix obvious errors, awkward phrasing, or missing context that Claude missed.
- Coordinate workflows: Make sure client call prep happens on time, contracts get signed, pipeline data stays current, and nothing falls through the cracks between different automation tools.
- Handle edge cases: When the AI can't figure something out or produces garbage output, you step in and either fix it manually or re-prompt until it works.
- Manage integrations: Keep different platforms (CRM, scheduling tools, email automation, etc.) talking to each other properly. When something breaks, you troubleshoot or flag it.
The Honest Reality
What's Hard
- You're the only buffer between AI outputs and client-facing work. If you miss something embarrassing, it goes out. The pressure to catch errors is real.
- The work is repetitive and detail-oriented. You're not creating strategy or doing creative work—you're checking, coordinating, and cleaning up.
- You need to learn how the AI tools work well enough to fix their mistakes and re-prompt effectively. If you're not comfortable working with AI agents, you'll struggle.
- You report to a busy solo operator who's juggling two businesses. Expect async communication, not hand-holding.
- The role is contract-based. No benefits, no career ladder here—this is project work.
What Success Looks Like
- Client-facing materials go out on time with zero embarrassing mistakes
- The operational systems run smoothly without constant firefighting
- The founder spends less time on coordination tasks and more time on high-value client work
- You develop a working rhythm with the AI tools and know when to intervene vs. let them run
Who You're Supporting
Primary Stakeholders:
- Brett (founder) - needs reliable execution support
- PE/VC-backed health tech clients - expect polished, professional deliverables
- Senior leaders in AI education program - expect timely, accurate course materials
What They Care About:
- No mistakes in client-facing work (credibility is everything in consulting)
- Things happening on schedule without constant check-ins
- Outputs that sound professional, not AI-generated
Requirements
- You must be comfortable working with AI tools (especially Claude) and understand how to prompt, review, and iterate with AI outputs
- Strong attention to detail—you catch typos, logic gaps, and tone problems before they ship
- You can work independently without much direction. The job description will be detailed, but day-to-day you figure things out.
- Comfortable with ambiguity and edge cases. The AI handles routine stuff; you get the weird problems.
- Remote work discipline—no one's checking if you're working, but things need to get done
- Contract/freelance mentality—this isn't a traditional W2 job with benefits and growth plans
What This Actually Is
This is a behind-the-scenes operations role for someone who wants to see how an AI-native business runs, not someone looking to build a marketing career. You won't be developing campaigns, writing thought leadership, or managing a team. You're quality control and coordination for automation workflows. If that sounds boring, it probably is. If that sounds interesting because you want to understand how to use AI to run lean operations, apply.