Update job-scheduler.md

website/docs/docs/deploy/job-scheduler.md

@@ -31,7 +31,7 @@ Familiarize yourself with these useful terms to help you understand how the job
 | Over-scheduled job | A situation when a cron-scheduled job's run duration becomes longer than the frequency of the job’s schedule, resulting in a job queue that will grow faster than the scheduler can process the job’s runs. |
 | Prep time | The time dbt Cloud takes to create a short-lived environment to execute the job commands in the user's cloud data platform. Prep time varies most significantly at the top of the hour when the dbt Cloud Scheduler experiences a lot of run traffic. |
 | Run | A single, unique execution of a dbt job. |
-| Run slot | Run slots control the number of jobs that can run concurrently. Developer and Team plan accounts have a fixed number of run slots, and Enterprise users have [unlimited run slots](/docs/dbt-versions/release-notes/July-2023/faster-run#unlimited-job-concurrency-for-enterprise-accounts). Each running job occupies a run slot for the duration of the run. If you need more jobs to execute in parallel, consider the [Enterprise plan](https://www.getdbt.com/pricing/) |
+| Run slot | Run slots control the number of jobs that can run concurrently. Developer plan has a fixed number of run slots, and Enterprise & Team users have [unlimited run slots](/docs/dbt-versions/release-notes/July-2023/faster-run#unlimited-job-concurrency-for-enterprise-accounts). Each running job occupies a run slot for the duration of the run. If you need more jobs to execute in parallel, consider the [Enterprise plan](https://www.getdbt.com/pricing/) |
 | Threads | When dbt builds a project's DAG, it tries to parallelize the execution by using threads. The [thread](/docs/running-a-dbt-project/using-threads) count is the maximum number of paths through the DAG that dbt can work on simultaneously. The default thread count in a job is 4. |
 | Wait time | Amount of time that dbt Cloud waits before running a job, either because there are no available slots or because a previous run of the same job is still in progress. |