diff --git a/awx/main/tasks/receptor.py b/awx/main/tasks/receptor.py
index 4cb0a543a2..0321a50c80 100644
--- a/awx/main/tasks/receptor.py
+++ b/awx/main/tasks/receptor.py
@@ -7,8 +7,6 @@ import logging
 import os
 import shutil
 import socket
-import sys
-import threading
 import time
 import yaml
 
@@ -247,16 +245,6 @@ def worker_cleanup(node_name, vargs, timeout=300.0):
     return stdout
 
 
-class TransmitterThread(threading.Thread):
-    def run(self):
-        self.exc = None
-
-        try:
-            super().run()
-        except Exception:
-            self.exc = sys.exc_info()
-
-
 class AWXReceptorJob:
     def __init__(self, task, runner_params=None):
         self.task = task
@@ -296,41 +284,43 @@ class AWXReceptorJob:
         # reading.
         sockin, sockout = socket.socketpair()
 
-        transmitter_thread = TransmitterThread(target=self.transmit, args=[sockin])
-        transmitter_thread.start()
+        with concurrent.futures.ThreadPoolExecutor(max_workers=1) as executor:
+            transmitter_future = executor.submit(self.transmit, sockin)
 
-        # submit our work, passing
-        # in the right side of our socketpair for reading.
-        _kw = {}
-        if self.work_type == 'ansible-runner':
-            _kw['node'] = self.task.instance.execution_node
-            use_stream_tls = get_conn_type(_kw['node'], receptor_ctl).name == "STREAMTLS"
-            _kw['tlsclient'] = get_tls_client(use_stream_tls)
-        result = receptor_ctl.submit_work(worktype=self.work_type, payload=sockout.makefile('rb'), params=self.receptor_params, signwork=self.sign_work, **_kw)
-        self.unit_id = result['unitid']
-        # Update the job with the work unit in-memory so that the log_lifecycle
-        # will print out the work unit that is to be associated with the job in the database
-        # via the update_model() call.
-        # We want to log the work_unit_id as early as possible. A failure can happen in between
-        # when we start the job in receptor and when we associate the job <-> work_unit_id.
-        # In that case, there will be work running in receptor and Controller will not know
-        # which Job it is associated with.
-        # We do not programatically handle this case. Ideally, we would handle this with a reaper case.
-        # The two distinct job lifecycle log events below allow for us to at least detect when this
-        # edge case occurs. If the lifecycle event work_unit_id_received occurs without the
-        # work_unit_id_assigned event then this case may have occured.
-        self.task.instance.work_unit_id = result['unitid']  # Set work_unit_id in-memory only
-        self.task.instance.log_lifecycle("work_unit_id_received")
-        self.task.update_model(self.task.instance.pk, work_unit_id=result['unitid'])
-        self.task.instance.log_lifecycle("work_unit_id_assigned")
+            _kw = {}
+            if self.work_type == 'ansible-runner':
+                _kw['node'] = self.task.instance.execution_node
+                use_stream_tls = get_conn_type(_kw['node'], receptor_ctl).name == "STREAMTLS"
+                _kw['tlsclient'] = get_tls_client(use_stream_tls)
 
-        sockin.close()
-        sockout.close()
+            # submit our work, passing in the right side of our socketpair for reading.
+            result = receptor_ctl.submit_work(
+                worktype=self.work_type, payload=sockout.makefile('rb'), params=self.receptor_params, signwork=self.sign_work, **_kw
+            )
 
-        if transmitter_thread.exc:
-            raise transmitter_thread.exc[1].with_traceback(transmitter_thread.exc[2])
+            sockin.close()
+            sockout.close()
 
-        transmitter_thread.join()
+            self.unit_id = result['unitid']
+            # Update the job with the work unit in-memory so that the log_lifecycle
+            # will print out the work unit that is to be associated with the job in the database
+            # via the update_model() call.
+            # We want to log the work_unit_id as early as possible. A failure can happen in between
+            # when we start the job in receptor and when we associate the job <-> work_unit_id.
+            # In that case, there will be work running in receptor and Controller will not know
+            # which Job it is associated with.
+            # We do not programatically handle this case. Ideally, we would handle this with a reaper case.
+            # The two distinct job lifecycle log events below allow for us to at least detect when this
+            # edge case occurs. If the lifecycle event work_unit_id_received occurs without the
+            # work_unit_id_assigned event then this case may have occured.
+            self.task.instance.work_unit_id = result['unitid']  # Set work_unit_id in-memory only
+            self.task.instance.log_lifecycle("work_unit_id_received")
+            self.task.update_model(self.task.instance.pk, work_unit_id=result['unitid'])
+            self.task.instance.log_lifecycle("work_unit_id_assigned")
+
+        # Throws an exception if the transmit failed.
+        # Will be caught by the try/except in BaseTask#run.
+        transmitter_future.result()
 
         # Artifacts are an output, but sometimes they are an input as well
         # this is the case with fact cache, where clearing facts deletes a file, and this must be captured