diff --git a/opentelemetry-exporter-gcp-monitoring/src/opentelemetry/exporter/cloud_monitoring/__init__.py b/opentelemetry-exporter-gcp-monitoring/src/opentelemetry/exporter/cloud_monitoring/__init__.py
index c5dff791..08635925 100644
--- a/opentelemetry-exporter-gcp-monitoring/src/opentelemetry/exporter/cloud_monitoring/__init__.py
+++ b/opentelemetry-exporter-gcp-monitoring/src/opentelemetry/exporter/cloud_monitoring/__init__.py
@@ -147,7 +147,9 @@ def __init__(
         ) = divmod(time_ns(), NANOS_PER_SECOND)
         self._prefix = prefix
 
-    def _batch_write(self, series: List[TimeSeries]) -> None:
+    def _batch_write(
+        self, series: List[TimeSeries], timeout_millis: float
+    ) -> None:
         """Cloud Monitoring allows writing up to 200 time series at once
 
         :param series: ProtoBuf TimeSeries
@@ -162,11 +164,12 @@ def _batch_write(self, series: List[TimeSeries]) -> None:
                         write_ind : write_ind + MAX_BATCH_WRITE
                     ],
                 ),
+                timeout=timeout_millis / 1000,
             )
             write_ind += MAX_BATCH_WRITE
 
     def _get_metric_descriptor(
-        self, metric: Metric
+        self, metric: Metric, timeout_millis: float
     ) -> Optional[MetricDescriptor]:
         """We can map Metric to MetricDescriptor using Metric.name or
         MetricDescriptor.type. We create the MetricDescriptor if it doesn't
@@ -248,7 +251,8 @@ def _get_metric_descriptor(
             response_descriptor = self.client.create_metric_descriptor(
                 CreateMetricDescriptorRequest(
                     name=self.project_name, metric_descriptor=descriptor
-                )
+                ),
+                timeout=timeout_millis / 1000,
             )
         # pylint: disable=broad-except
         except Exception as ex:
@@ -362,7 +366,6 @@ def _to_point(
     def export(
         self,
         metrics_data: MetricsData,
-        # TODO(aabmass): pass timeout to api calls
         timeout_millis: float = 10_000,
         **kwargs,
     ) -> MetricExportResult:
@@ -395,7 +398,9 @@ def export(
                         ),
                     )
 
-                    descriptor = self._get_metric_descriptor(metric)
+                    descriptor = self._get_metric_descriptor(
+                        metric, timeout_millis
+                    )
                     if not descriptor:
                         continue
 
@@ -426,7 +431,7 @@ def export(
                         all_series.append(series)
 
         try:
-            self._batch_write(all_series)
+            self._batch_write(all_series, timeout_millis)
         # pylint: disable=broad-except
         except Exception as ex:
             logger.error(
diff --git a/opentelemetry-exporter-gcp-monitoring/tests/test_cloud_monitoring.py b/opentelemetry-exporter-gcp-monitoring/tests/test_cloud_monitoring.py
index aeec456b..6e190752 100644
--- a/opentelemetry-exporter-gcp-monitoring/tests/test_cloud_monitoring.py
+++ b/opentelemetry-exporter-gcp-monitoring/tests/test_cloud_monitoring.py
@@ -29,6 +29,7 @@
 """
 
 from typing import List, Union
+from unittest.mock import Mock
 
 import pytest
 from fixtures.gcmfake import GcmFake, GcmFakeMeterProvider
@@ -38,12 +39,23 @@
     CloudMonitoringMetricsExporter,
 )
 from opentelemetry.metrics import CallbackOptions, Observation
+from opentelemetry.sdk.metrics.export import (
+    AggregationTemporality,
+    Metric,
+    MetricExportResult,
+    MetricsData,
+    NumberDataPoint,
+    ResourceMetrics,
+    ScopeMetrics,
+    Sum,
+)
 from opentelemetry.sdk.metrics.view import (
     ExplicitBucketHistogramAggregation,
     ExponentialBucketHistogramAggregation,
     View,
 )
 from opentelemetry.sdk.resources import Resource
+from opentelemetry.sdk.util.instrumentation import InstrumentationScope
 from opentelemetry.util.types import Attributes
 
 PROJECT_ID = "fakeproject"
@@ -64,6 +76,63 @@ def test_create_monitoring_exporter() -> None:
     )
 
 
+def test_export_passes_timeout_to_cloud_monitoring_client() -> None:
+    client = Mock()
+    client.common_project_path.return_value = "projects/fakeproject"
+    client.create_metric_descriptor.side_effect = (
+        lambda request, timeout: request.metric_descriptor
+    )
+
+    exporter = CloudMonitoringMetricsExporter(
+        project_id=PROJECT_ID,
+        client=client,
+    )
+
+    result = exporter.export(_metrics_data(), timeout_millis=2500)
+
+    assert result is MetricExportResult.SUCCESS
+    assert client.create_metric_descriptor.call_args.kwargs["timeout"] == 2.5
+    assert client.create_time_series.call_args.kwargs["timeout"] == 2.5
+
+
+def _metrics_data() -> MetricsData:
+    return MetricsData(
+        resource_metrics=[
+            ResourceMetrics(
+                resource=Resource.create({}),
+                scope_metrics=[
+                    ScopeMetrics(
+                        scope=InstrumentationScope(__name__),
+                        metrics=[
+                            Metric(
+                                name="timeout_counter",
+                                description="",
+                                unit="1",
+                                data=Sum(
+                                    data_points=[
+                                        NumberDataPoint(
+                                            attributes={},
+                                            start_time_unix_nano=1,
+                                            time_unix_nano=2,
+                                            value=1,
+                                        )
+                                    ],
+                                    aggregation_temporality=(
+                                        AggregationTemporality.CUMULATIVE
+                                    ),
+                                    is_monotonic=True,
+                                ),
+                            )
+                        ],
+                        schema_url="",
+                    )
+                ],
+                schema_url="",
+            )
+        ]
+    )
+
+
 @pytest.mark.parametrize(
     "value", [pytest.param(123, id="int"), pytest.param(45.6, id="float")]
 )