diff --git a/doc/source/whatsnew/v1.0.2.rst b/doc/source/whatsnew/v1.0.2.rst
index 70aaaa6d0a60d..ac0a3ae42f6db 100644
--- a/doc/source/whatsnew/v1.0.2.rst
+++ b/doc/source/whatsnew/v1.0.2.rst
@@ -29,6 +29,10 @@ Bug fixes
 
 - Using ``pd.NA`` with :meth:`DataFrame.to_json` now correctly outputs a null value instead of an empty object (:issue:`31615`)
 
+**Strings**
+
+- Using ``pd.NA`` with :meth:`Series.str.repeat` now correctly outputs a null value instead of raising error for vector inputs (:issue:`31632`)
+
 .. ---------------------------------------------------------------------------
 
 .. _whatsnew_102.contributors:
diff --git a/pandas/core/strings.py b/pandas/core/strings.py
index 18c7504f2c2f8..9ef066d55689f 100644
--- a/pandas/core/strings.py
+++ b/pandas/core/strings.py
@@ -778,6 +778,8 @@ def scalar_rep(x):
     else:
 
         def rep(x, r):
+            if x is libmissing.NA:
+                return x
             try:
                 return bytes.__mul__(x, r)
             except TypeError:
diff --git a/pandas/tests/test_strings.py b/pandas/tests/test_strings.py
index 62d26dacde67b..faa7b78b07301 100644
--- a/pandas/tests/test_strings.py
+++ b/pandas/tests/test_strings.py
@@ -1153,6 +1153,18 @@ def test_repeat(self):
         assert isinstance(rs, Series)
         tm.assert_series_equal(rs, xp)
 
+    def test_repeat_with_null(self):
+        # GH: 31632
+        values = Series(["a", None], dtype="string")
+        result = values.str.repeat([3, 4])
+        exp = Series(["aaa", None], dtype="string")
+        tm.assert_series_equal(result, exp)
+
+        values = Series(["a", "b"], dtype="string")
+        result = values.str.repeat([3, None])
+        exp = Series(["aaa", None], dtype="string")
+        tm.assert_series_equal(result, exp)
+
     def test_match(self):
         # New match behavior introduced in 0.13
         values = Series(["fooBAD__barBAD", np.nan, "foo"])