diff --git a/cubed/runtime/executors/python.py b/cubed/runtime/executors/python.py
index 9720f1b8..b9349680 100644
--- a/cubed/runtime/executors/python.py
+++ b/cubed/runtime/executors/python.py
@@ -1,7 +1,6 @@
 from typing import Any, Callable, Optional, Sequence
 
 from networkx import MultiDiGraph
-from tenacity import retry, stop_after_attempt
 
 from cubed.core.array import Callback, Spec, TaskEndEvent
 from cubed.core.plan import visit_nodes
@@ -9,7 +8,6 @@
 from cubed.runtime.types import DagExecutor
 
 
-@retry(reraise=True, stop=stop_after_attempt(3))
 def exec_stage_func(func: Callable[..., Any], *args, **kwargs):
     return func(*args, **kwargs)
 
diff --git a/cubed/tests/test_core.py b/cubed/tests/test_core.py
index eb564769..483351b1 100644
--- a/cubed/tests/test_core.py
+++ b/cubed/tests/test_core.py
@@ -15,6 +15,7 @@
 from cubed.extensions.timeline import TimelineVisualizationCallback
 from cubed.extensions.tqdm import TqdmProgressBar
 from cubed.primitive.blockwise import apply_blockwise
+from cubed.runtime.executors.python_async import AsyncPythonDagExecutor
 from cubed.tests.utils import (
     ALL_EXECUTORS,
     MAIN_EXECUTORS,
@@ -467,7 +468,12 @@ def mock_apply_blockwise(*args, **kwargs):
     return apply_blockwise(*args, **kwargs)
 
 
+@pytest.mark.skipif(
+    platform.system() == "Windows", reason="measuring memory does not run on windows"
+)
 def test_retries(mocker, spec):
+    # Use AsyncPythonDagExecutor since PythonDagExecutor doesn't support retries
+    executor = AsyncPythonDagExecutor()
     # Inject faults into the primitive layer
     mocker.patch(
         "cubed.primitive.blockwise.apply_blockwise", side_effect=mock_apply_blockwise
@@ -476,7 +482,9 @@ def test_retries(mocker, spec):
     a = xp.asarray([[1, 2, 3], [4, 5, 6], [7, 8, 9]], chunks=(2, 2), spec=spec)
     b = xp.asarray([[1, 1, 1], [1, 1, 1], [1, 1, 1]], chunks=(2, 2), spec=spec)
     c = xp.add(a, b)
-    assert_array_equal(c.compute(), np.array([[2, 3, 4], [5, 6, 7], [8, 9, 10]]))
+    assert_array_equal(
+        c.compute(executor=executor), np.array([[2, 3, 4], [5, 6, 7], [8, 9, 10]])
+    )
 
 
 @pytest.mark.skipif(