Agent Operations Lead

The Role

We are looking for an Agent Operations Lead to help Geordie become one of the most effective agent-native companies in the world.

Your role is to identify where AI agents can meaningfully expand the operational capacity of the business, build the systems and workflows that make that possible, and enable teams across the company to leverage agents effectively themselves. We are scaling quickly, but there is the ability to build from the ground up without technical debt.

This is a highly hands‑on role. You will work across business functions to understand how work we want to get done, identify friction and scaling bottlenecks, and then design, build, and ope rationalise agentic workflows that improve speed, quality, and leverage across the company.

You should be deeply curious about how modern agent systems behave in practice: what architectures work, which tools fail under pressure, how multi‑agent systems coordinate effectively, and where humans should remain in the loop. We expect you to constantly experiment with the latest tooling, orchestration patterns, and workflows to determine what delivers real‑world operational value.

You will also use Geordie internally to better understand and improve our own agent operations, while feeding product insights and operational learnings back into the company as we build the category‑defining platform for understanding and governing AI agents.

• Work directly with teams across the business to understand operational workflows, identify bottlenecks, and determine where AI agents can create meaningful leverage.

• Design, build, and maintain agentic workflows, automations, and multi‑agent systems that improve operational efficiency and expand business capacity without proportional headcount growth.

• Rapidly prototype and evaluate new AI tooling, orchestration frameworks, models, and architectures to determine what works best in practice.

• Enable teams across the company to build and operate agents themselves by establishing best practices, reusable workflows, patterns, and operational guidance.

• Build internal systems using tools and ecosystems such as Claude Code/Cowork/Managed Agents, OpenAI Codex, n8n, Zapier, Lang Graph, MCPs, Skills, Plugins, and other emerging agentic tooling.

• Continuously reevaluate workflows, architectures, and tooling choices as the ecosystem evolves, remaining highly adaptive to new capabilities and approaches.

• Work closely with Engineering, Product, GTM, Operations, and Leadership teams to ensure agent systems are aligned with real business outcomes.

• Use Geordie internally to better understand our own agent operations, evaluate risk and visibility challenges firsthand, and provide feedback that influences product direction.

• Help establish Geordie as a showcase agent‑native company by demonstrating how agents can responsibly and effectively augment real business operations.

• Contribute externally where relevant through customer discussions, enablement sessions, thought leadership, or sharing operational best practices around agent adoption.

• The most important thing in this role is genuine curiosity and hands‑on experimentation with AI agents and operational systems. You are constantly testing new tools, orchestration approaches, and workflows to understand what creates meaningful leverage versus what is simply hype.

• You think in systems. You enjoy understanding how businesses operate, identifying inefficiencies, and designing practical solutions that improve how work gets done.

• You are highly adaptable and comfortable operating in ambiguity. You favour momentum over perfection, iterate quickly, and are capable of balancing experimentation with operational reliability.

• You are both technical and operationally minded: capable of building systems yourself while also enabling others to adopt and use them effectively.

• You care deeply about practical outcomes. If something does not improve speed, quality, leverage, visibility, or operational effectiveness, you question whether it should exist at all.

• Hands‑on experience building and operating AI agents or multi‑agent systems.

• Strong familiarity with modern…