AI Automation & Operations
What you'll do
We're building AI into how our business actually operates — logistics, cost reporting, sales outreach, and internal workflows. We are not looking for a pure AI/ML engineer. We're looking for someone with a strong operations background who uses AI as a tool to solve real business problems, not the other way around.
You'll work embedded with our operations and logistics teams to find where AI can save time, cut cost, and remove bottlenecks — then design, build, and ship those systems yourself or with a small team.
- Audit existing workflows across logistics, ops, and sales to find high-value automation opportunities.
- Design and deploy AI agents and workflows end to end (e.g. inbox triage, outreach automation, reporting).
- Partner directly with operations, logistics, and sales teams to understand real bottlenecks before proposing solutions.
- Translate technical work into business terms — cost saved, hours saved, revenue impact — for leadership reporting.
- Take pilots from proof-of-concept to reliable production.
- Continuously identify the next highest-ROI opportunity for AI in the business.
Must-haves
- Real operations experience (logistics, supply chain, customer service, sales ops, or similar) — not just a technical background.
- A track record of building and deploying AI-driven workflows or agents in a live business setting.
- A strong communicator who can explain technical work in plain, business-first language.
- Comfortable working cross-functionally and embedded with non-technical teams.
- Bias toward action — ships pilots, iterates, and gets things into production.
- Professional English, written and spoken.
Nice-to-haves
- Experience with agent frameworks or workflow automation tools (Make, Zapier, n8n, or similar).
- Experience scaling a pilot project into a company-wide system.
- Familiarity with reporting / BI tools (Excel, dashboards).
Competitive USD contractor rate, commensurate with experience. $2,500–$4,500/mo