diff --git a/examples/link_prediction/configs/e2e_hom_cora_sup_task_config.yaml b/examples/link_prediction/configs/e2e_hom_cora_sup_task_config.yaml
index 606f13c29..7288807fd 100644
--- a/examples/link_prediction/configs/e2e_hom_cora_sup_task_config.yaml
+++ b/examples/link_prediction/configs/e2e_hom_cora_sup_task_config.yaml
@@ -26,7 +26,7 @@ inferencerConfig:
   inferenceBatchSize: 512
   command: python -m examples.link_prediction.homogeneous_inference
 sharedConfig:
-  shouldSkipAutomaticTempAssetCleanup: false
+  shouldSkipAutomaticTempAssetCleanup: True
   shouldSkipInference: false
   # Model Evaluation is currently only supported for tabularized SGS GiGL pipelines. This will soon be added for in-mem SGS GiGL pipelines.
   shouldSkipModelEvaluation: true
diff --git a/python/gigl/orchestration/kubeflow/kfp_orchestrator.py b/python/gigl/orchestration/kubeflow/kfp_orchestrator.py
index 16323e5f0..4c16cb14f 100644
--- a/python/gigl/orchestration/kubeflow/kfp_orchestrator.py
+++ b/python/gigl/orchestration/kubeflow/kfp_orchestrator.py
@@ -149,18 +149,8 @@ def run(
             "template_or_frozen_config_uri": task_config_uri.uri,
             "resource_config_uri": resource_config_uri.uri,
         }
-        # We need to provide *some* notification emails, other wise the cleanup component will fail.
-        # Ideally, we'd be able to provide None and have it handle it, but for whatever reason
-        # that's not supported atm. Passing in None gives the below error:
-        # Notification email "recipients" parameter must specify at least one recipient.
         if notification_emails:
             run_keyword_args["notification_emails"] = notification_emails
-        else:
-            run_keyword_args["notification_emails"] = [
-                get_resource_config(
-                    resource_config_uri=resource_config_uri
-                ).service_account_email
-            ]
         if stop_after is not None:
             run_keyword_args["stop_after"] = stop_after
 
diff --git a/python/gigl/orchestration/kubeflow/kfp_pipeline.py b/python/gigl/orchestration/kubeflow/kfp_pipeline.py
index 524107ce2..93c9e97b2 100644
--- a/python/gigl/orchestration/kubeflow/kfp_pipeline.py
+++ b/python/gigl/orchestration/kubeflow/kfp_pipeline.py
@@ -14,6 +14,7 @@
 from gigl.common import LocalUri
 from gigl.common.logger import Logger
 from gigl.common.types.resource_config import CommonPipelineComponentConfigs
+from gigl.env.pipelines_config import get_resource_config
 from gigl.orchestration.kubeflow.utils.glt_backend import (
     check_glt_backend_eligibility_component,
 )
@@ -247,7 +248,8 @@ def pipeline(
         resource_config_uri: str,
         start_at: str = GiGLComponents.ConfigPopulator.value,
         stop_after: Optional[str] = None,
-        notification_emails: Optional[List[str]] = None,
+        # We need to provide *some* notification emails, other wise the cleanup component will fail.
+        notification_emails: List[str] = ["kmonte@snap.com"],
     ):
         with kfp.dsl.ExitHandler(
             VertexNotificationEmailOp(recipients=notification_emails),