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Reaching Jobr is straightforward. Every client has a dedicated point of contact, and for anything that doesn’t require an immediate response, a few details upfront will get your issue resolved much faster. Here’s how to get in touch and what to have ready.

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Your account manager

Every Jobr client has a dedicated account manager who serves as your primary point of contact for the life of the engagement. Your account manager handles changes and updates to your AI employee, answers questions about how it’s performing, and coordinates with the Jobr team on anything that needs attention under the hood. If something isn’t working the way you expect, or you want to adjust a rule, update a policy, or expand what the employee handles — your account manager is your first call.

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Book a call

If you’re a new customer, or if you’re an existing client looking to explore adding a new role, book a call directly through the Jobr website. On the call, Jobr will learn about the role you have in mind and show you exactly what an AI employee could take over in your business. Book a call at jobrco.com → No pitch. Just a conversation about what’s possible for your business.

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What to include when reporting an issue

When you contact your account manager about a problem, the more context you provide, the faster Jobr can diagnose and fix it. Before reaching out, try to gather:
  • Which AI employee is affected — the role and employee name if applicable (e.g., “Aria — Customer Support”)
  • Date and time of the issue — as specific as you can be
  • What happened vs. what you expected — a clear description of the gap
  • Example conversations or screenshots — the actual exchange if you have it
  • Whether this is a one-off or a recurring pattern — note if you’ve seen it before, and roughly how often
The more context you provide, the faster Jobr can diagnose and resolve the issue. A specific example with a date is worth far more than a general description.
Jobr monitors AI employee performance proactively. In many cases, your account manager may reach out before you notice an issue — performance anomalies are tracked automatically as part of standard operations.