diff --git a/pipelines/batch/setup_prod_job.py b/pipelines/batch/setup_prod_job.py
index 73c6c4ef..414d3d1f 100644
--- a/pipelines/batch/setup_prod_job.py
+++ b/pipelines/batch/setup_prod_job.py
@@ -22,7 +22,10 @@ def main(
     output_subdir: str | Path = "./",
     container_image_name: str = "pyrenew-hew",
     container_image_version: str = "latest",
-    excluded_locations: list[str] = [
+    n_training_days: int = 90,
+    exclude_last_n_days: int = 1,
+    locations_include: list[str] = None,
+    locations_exclude: list[str] = [
         "AS",
         "GU",
         "MO",
@@ -62,9 +65,28 @@ def main(
     container_image_version
         Version of the container to use. Default 'latest'.
 
-    excluded_locations
+    n_training_days
+        Number of training days of data to use for model fitting.
+        Default 90.
+
+    exclude_last_n_days
+        Number of days of available data to exclude from fitting.
+        Default 1. Note that we start the lookback for the
+        ``n_training_days`` of data after these exclusions,
+        so there will always be ``n_training_days`` of observations
+        for fitting; ``exclude_last_n_days`` determines where
+        the date range of observations starts and ends.
+
+    locations_include
+        List of two-letter USPS location abbreviations for locations
+        to include in the job (unless explicitly excluded by
+        --locations-exclude). If ``None``, use all available
+        not-explicitly-excluded locations. Default ``None``.
+
+    locations_exclude
         List of two letter USPS location abbreviations to
-        exclude from the job. Defaults to locations for which
+        exclude from the job. If ``None``, do not exclude any
+        locations. Defaults to a list of locations for which
         we typically do not have available NSSP ED visit data:
         ``["AS", "GU", "MO", "MP", "PR", "UM", "VI", "WY"]``.
 
@@ -137,7 +159,7 @@ def main(
         "python pipelines/forecast_state.py "
         "--disease {disease} "
         "--state {state} "
-        "--n-training-days 90 "
+        "--n-training-days {n_training_days} "
         "--n-warmup {n_warmup} "
         "--n-samples {n_samples} "
         "--facility-level-nssp-data-dir nssp-etl/gold "
@@ -147,7 +169,7 @@ def main(
         "--output-dir {output_dir} "
         "--priors-path config/prod_priors.py "
         "--report-date {report_date} "
-        "--exclude-last-n-days 1 "
+        "--exclude-last-n-days {exclude_last_n_days} "
         "--no-score "
         "--eval-data-path "
         "nssp-archival-vintages/latest_comprehensive.parquet"
@@ -159,10 +181,16 @@ def main(
         "https://www2.census.gov/geo/docs/reference/state.txt", separator="|"
     )
 
+    loc_abbrs = locations.get_column("STUSAB").to_list() + ["US"]
+    if locations_include is None:
+        locations_include = loc_abbrs
+    if locations_exclude is None:
+        locations_exclude = []
+
     all_locations = [
         loc
-        for loc in locations.get_column("STUSAB").to_list() + ["US"]
-        if loc not in excluded_locations
+        for loc in loc_abbrs
+        if loc not in locations_exclude and loc in locations_include
     ]
 
     for disease, state in itertools.product(disease_list, all_locations):
@@ -174,6 +202,8 @@ def main(
                 report_date="latest",
                 n_warmup=n_warmup,
                 n_samples=n_samples,
+                n_training_days=n_training_days,
+                exclude_last_n_days=exclude_last_n_days,
                 output_dir=str(Path("output", output_subdir)),
             ),
             container_settings=container_settings,
@@ -226,7 +256,40 @@ def main(
 )
 
 parser.add_argument(
-    "--excluded-locations",
+    "--n-training-days",
+    type=int,
+    help=(
+        "Number of 'training days' of observed data "
+        "to use for model fitting."
+    ),
+    default=90,
+)
+
+parser.add_argument(
+    "--exclude-last-n-days",
+    type=int,
+    help=(
+        "Number of days to drop from the end of the timeseries "
+        "of observed data when constructing the training data."
+    ),
+    default=1,
+)
+
+parser.add_argument(
+    "--locations-include",
+    type=str,
+    help=(
+        "Two-letter USPS location abbreviations to "
+        "include in the job, as a whitespace-separated "
+        "string. If not set, include all ",
+        "available locations except any explicitly excluded "
+        "via --locations-exclude.",
+    ),
+    default=None,
+)
+
+parser.add_argument(
+    "--locations-exclude",
     type=str,
     help=(
         "Two-letter USPS location abbreviations to "
@@ -242,5 +305,7 @@ def main(
 if __name__ == "__main__":
     args = parser.parse_args()
     args.diseases = args.diseases.split()
-    args.excluded_locations = args.excluded_locations.split()
+    if args.locations_include is not None:
+        args.locations_include = args.locations_include.split()
+    args.locations_exclude = args.locations_exclude.split()
     main(**vars(args))