diff --git a/Project.toml b/Project.toml
index 7e29d2b3..a7d05380 100644
--- a/Project.toml
+++ b/Project.toml
@@ -25,6 +25,7 @@ LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 Logging = "56ddb016-857b-54e1-b83d-db4d58db5568"
 NamedTupleTools = "d9ec5142-1e00-5aa0-9d6a-321866360f50"
 OrderedCollections = "bac558e1-5e72-5ebc-8fee-abe8a469f55d"
+Pickle = "fbb45041-c46e-462f-888f-7c521cafbc2c"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
@@ -58,6 +59,7 @@ Markdown = "=0.7.5"
 Mocking = "=0.8.1"
 NamedTupleTools = "=0.14.3"
 OrderedCollections = "=1.6.3"
+Pickle = "0.3.5"
 Pkg = "1.6"
 Random = "1.6"
 SparseArrays = "1.6"
diff --git a/src/jobs.jl b/src/jobs.jl
index e8bca6eb..cc78d82d 100644
--- a/src/jobs.jl
+++ b/src/jobs.jl
@@ -1,3 +1,6 @@
+using Base64
+using Pickle
+
 const JOB_DEFAULT_RESULTS_POLL_TIMEOUT = 864000
 const JOB_DEFAULT_RESULTS_POLL_INTERVAL = 5
 const JOB_TERMINAL_STATES = ["COMPLETED", "FAILED", "CANCELLED"]
@@ -67,13 +70,13 @@ function get_hyperparameters()
 end
 
 function serialize_values(data_dictionary::Dict{String, Any}, data_format::PersistedJobDataFormat)
-    data_format == pickled_v4 && throw(ArgumentError("pickling data not yet supported!"))
+    data_format == pickled_v4 && return Dict(k => base64encode(Pickle.stores(v)) for (k, v) in data_dictionary)
     return data_dictionary
 end
 
 function deserialize_values(data_dictionary::Dict{String, Any}, data_format::PersistedJobDataFormat)
     data_format == plaintext && return data_dictionary
-    throw(ArgumentError("unpickling results not yet supported!"))
+    return Dict(k => Pickle.loads(base64decode(v)) for (k, v) in data_dictionary)
 end
 deserialize_values(data_dictionary::Dict{String, Any}, data_format::String) = deserialize_values(data_dictionary, PersistedJobDataFormatDict[data_format])
 
diff --git a/test/Project.toml b/test/Project.toml
index 4f33b7a6..74fd56d1 100644
--- a/test/Project.toml
+++ b/test/Project.toml
@@ -15,6 +15,7 @@ LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 Markdown = "d6f4376e-aef5-505a-96c1-9c027394607a"
 Mocking = "78c3b35d-d492-501b-9361-3d52fe80e533"
 OrderedCollections = "bac558e1-5e72-5ebc-8fee-abe8a469f55d"
+Pickle = "fbb45041-c46e-462f-888f-7c521cafbc2c"
 Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
diff --git a/test/jobs.jl b/test/jobs.jl
index 964ed4a4..e432700e 100644
--- a/test/jobs.jl
+++ b/test/jobs.jl
@@ -1,4 +1,4 @@
-using Braket, Test, Mocking, Random, Dates, Tar, JSON3
+using Braket, Pickle, Base64, Test, Mocking, Random, Dates, Tar, JSON3
 Mocking.activate()
 
 Base.parse(d::Dict) = d
@@ -6,14 +6,25 @@ Base.parse(d::Dict) = d
 dev_arn = "arn:aws:braket:::device/quantum-simulator/amazon/sv1"
 
 @testset "Jobs" begin
-    @testset "deserialization errors" begin
-        @test_throws ArgumentError Braket.deserialize_values(Dict{String, Any}(), Braket.pickled_v4)
+    @testset "serialization pickled_v4" begin
+        data_dictionary = Dict{String, Any}("key1" => "value1", "key2" => "value2")
+        data_format = Braket.pickled_v4
+        result = Braket.serialize_values(data_dictionary, data_format)
+        @test result == Dict{String, Any}("key1" => base64encode(Pickle.stores("value1")), "key2" => base64encode(Pickle.stores("value2")))
+    end
+    @testset "deserialization pickled_v4" begin
+        data_dictionary = Dict{String, Any}("key1" => base64encode(Pickle.stores("value1")), "key2" => base64encode(Pickle.stores("value2")))
+        data_format = Braket.pickled_v4
+        result = Braket.deserialize_values(data_dictionary, data_format)
+        @test result == Dict{String, Any}("key1" => "value1", "key2" => "value2")
+    end
+    @testset "deserialization" begin
+        @test Dict{Any,Any}() == Braket.deserialize_values(Dict{String,Any}(), Braket.pickled_v4)
         mktempdir() do d
             job = Braket.AwsQuantumJob("arn:fake")
             @test Braket._read_and_deserialize_results(job, d) == []
             pjd = Braket.PersistedJobData(Braket.header_dict[Braket.PersistedJobData], Dict{String, Any}(), Braket.pickled_v4)
             write(joinpath(d, Braket.RESULTS_FILENAME), JSON3.write(pjd))
-            @test_throws ArgumentError Braket._read_and_deserialize_results(job, d)
         end
     end
     @testset "logs" begin