Product

monday has its own AI agents, built and run inside monday. Many companies are also building agents elsewhere, on Claude, OpenAI, Copilot Studio and AWS, or in n8n and Make. External Agents lets those agents work inside monday as members of the team. Each one has its own identity, permissions and activity log, and is triggered by the work happening on monday. Many companies will use both.

 

Connecting an agent is the easy part. Every platform offers that. The hard part is what comes after, and it's still unsolved:

 

• Getting enterprises to say yes. The person who wants the agent is rarely the one who can approve it.

• Getting agents to do real work. An agent that runs once is a demo. An agent that runs a process every week, with the right context and the right people around it, is a product.

• Making it a business. That means finding a model that works for customers, for sellers and for monday.

 

The product is live with enterprise customers. You'll own these problems, working side by side with our forward deployed engineers in customer accounts.

  

About The Role

Own the strategy

• Decide what External Agents becomes, what to build next and what to stop.

• Work with leadership on pricing and packaging.

Build it yourself

• Prototype agents, MCP connections and workflows before asking the team to commit.

• Build with customers and engineers, and turn what works for one customer into product for the next.

Make external agents stick

• Turn external agents that run once into agents that run a process every week.

• Make governance the reason enterprises approve them instead of blocking them.

Requirements

Core experience

• You've taken a product from 0 to 1 and can point to what changed because of you.

• You've built AI products where the model or agent is the core of the product, not a feature added on top.

• You've worked directly with enterprise customers, ideally in a forward-deployed or solutions role.