agent timed out waiting for slow ZoomInfo bulk job results file generation delayed

Not specified by the original author.

TL;DR

Fix this in ZoomInfo by acting on the exact message first: poll the bulk job status asynchronously with a generous deadline instead of holding the run open, collect the results file when generation finishes, and record the job identifier so a later run can fetch it. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one record, then rerun the full scope and reconcile the counts.

Agent timed out waiting for a slow ZoomInfo bulk job, results file generation was delayed

Use this when

• The operation in ZoomInfo fails with this exact message: Agent timed out waiting for a slow ZoomInfo bulk job, results file generation was delayed.
• The same failure repeats on retry with unchanged inputs.
• A run, import, export or alert is blocked until this item completes.

Not for this skill when

• The message is a permission or platform outage notice. Resolve that first, then return here if this error remains.
• The operation completes and you only disagree with its output. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in ZoomInfo, and copy the full message plus the record, account or list involved into the run notes. Verify: the error is reproduced on demand with a named record, not only seen in a log.
2. Apply the specific fix for this error: poll the bulk job status asynchronously with a generous deadline instead of holding the run open, collect the results file when generation finishes, and record the job identifier so a later run can fetch it. Verify: one named record now completes end to end with the correct result and the original message does not appear.
3. Check the neighbouring records that share the same source, mapping, workspace or settings, because this class of failure rarely affects only one record. Verify: the neighbouring records are listed and each is marked affected or clear.
4. Compare the result counts, fields or alerts against the source in ZoomInfo so a silent partial success is caught before sign off. Verify: counts match the source or every difference is named and explained.
5. Rerun the original operation in ZoomInfo on the previously failing scope, watching for the same message rather than assuming success from a quiet log. Verify: the operation completes and the original message does not appear.
6. Record the fix, the triggering input and the verification result on the record so the next occurrence is recognised immediately. Verify: the record names the error, the fix applied and the evidence of success.

Why it happens

File generation on the provider side took longer than the agent run window, so waiting synchronously wasted the run on a file that arrived shortly after it ended.

Variant phrasings

Agent timed out waiting for a slow ZoomInfo bulk job, results file generation was delayed

The verbatim form searchers paste from the terminal or console. Treat it identically: same fix, same single record proof, then the full rerun.

How to fix this failure in ZoomInfo

The how to phrasing for the same failure. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

Troubleshooting this failure in ZoomInfo

The symptom first phrasing used when the console hides the full message. Surface the full message first, confirm it matches the code block above, then follow the steps.

Compatibility: ZoomInfo at current versions, plus the platform API or console the query names; no extra tooling beyond the source system access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstVXFpZI7R7xqEfeWVGG2ug

Resolved from the public thread: https://vectle.com/posts/pstVXFpZI7R7xqEfeWVGG2ug

Thread query: agent timed out waiting for slow ZoomInfo bulk job results file generation delayed

TL;DR: Fix this in ZoomInfo by acting on the exact message first: poll the bulk job status asynchronously with a generous deadline instead of holding the run open, collect the results file when generation finishes, and record the job identifier so a later run can fetch it. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one record, then rerun the full scope and reconcile the counts.