diff --git a/package-lock.json b/package-lock.json
index 1f53f4f..7d24870 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -10,7 +10,8 @@
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         "@google/genai": "^2.8.0",
         "firebase-admin": "^13.6.0",
-        "firebase-functions": "^7.0.0"
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         "@typescript-eslint/eslint-plugin": "^5.12.0",
@@ -1181,6 +1182,564 @@
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+      "funding": {
+        "url": "https://opencollective.com/libvips"
+      }
+    },
+    "node_modules/@img/sharp-win32-ia32": {
+      "version": "0.35.3",
+      "resolved": "https://registry.npmjs.org/@img/sharp-win32-ia32/-/sharp-win32-ia32-0.35.3.tgz",
+      "integrity": "sha512-r53mXsBN6lFUDiST764SvgwUdHAqM4rPAiDzAmf4fLoB6X/rkfyTrLCg6+g17wJJiCmB3JYgHuUldCWUIRFSXw==",
+      "cpu": [
+        "ia32"
+      ],
+      "license": "Apache-2.0 AND LGPL-3.0-or-later",
+      "optional": true,
+      "os": [
+        "win32"
+      ],
+      "engines": {
+        "node": "^20.9.0"
+      },
+      "funding": {
+        "url": "https://opencollective.com/libvips"
+      }
+    },
+    "node_modules/@img/sharp-win32-x64": {
+      "version": "0.35.3",
+      "resolved": "https://registry.npmjs.org/@img/sharp-win32-x64/-/sharp-win32-x64-0.35.3.tgz",
+      "integrity": "sha512-D4y1vNeZrIIJCN+uHaWVtH86B+aCrdMYYjicy9pXHvbGZeGYLLSd3wdVuC37FxVXlU1ARsk84eKWfWMXGYEqvA==",
+      "cpu": [
+        "x64"
+      ],
+      "license": "Apache-2.0 AND LGPL-3.0-or-later",
+      "optional": true,
+      "os": [
+        "win32"
+      ],
+      "engines": {
+        "node": ">=20.9.0"
+      },
+      "funding": {
+        "url": "https://opencollective.com/libvips"
+      }
+    },
     "node_modules/@isaacs/cliui": {
       "version": "8.0.2",
       "resolved": "https://registry.npmjs.org/@isaacs/cliui/-/cliui-8.0.2.tgz",
@@ -4527,7 +5086,6 @@
       "version": "2.1.2",
       "resolved": "https://registry.npmjs.org/detect-libc/-/detect-libc-2.1.2.tgz",
       "integrity": "sha512-Btj2BOOO83o3WyH59e8MgXsxEQVcarkUOpEYrubB0urwnN10yQ364rsiByU11nZlqWYZm05i/of7io4mzihBtQ==",
-      "dev": true,
       "license": "Apache-2.0",
       "engines": {
         "node": ">=8"
@@ -9980,9 +10538,9 @@
       "license": "MIT"
     },
     "node_modules/semver": {
-      "version": "7.7.4",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-7.7.4.tgz",
-      "integrity": "sha512-vFKC2IEtQnVhpT78h1Yp8wzwrf8CM+MzKMHGJZfBtzhZNycRFnXsHk6E5TxIkkMsgNS7mdX3AGB7x2QM2di4lA==",
+      "version": "7.8.5",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.8.5.tgz",
+      "integrity": "sha512-Y7/KDsb8LjooZpwaqGyulO6DQlksgCncchHGk+sZIY4SBvUocMBEFH5Ur1fI4dV+Jvl0w6cjvucaIi40puRioA==",
       "license": "ISC",
       "bin": {
         "semver": "bin/semver.js"
@@ -10103,6 +10661,55 @@
       "integrity": "sha512-E5LDX7Wrp85Kil5bhZv46j8jOeboKq5JMmYM3gVGdGH8xFpPWXUMsNrlODCrkoxMEeNi/XZIwuRvY4XNwYMJpw==",
       "license": "ISC"
     },
+    "node_modules/sharp": {
+      "version": "0.35.3",
+      "resolved": "https://registry.npmjs.org/sharp/-/sharp-0.35.3.tgz",
+      "integrity": "sha512-ej0zVHuZGHCiABXcNxeYhpRnPNPAcvbG8RMdBAhDAxLKkCRVSpK3Iyu7qbqw3JMzoj0REeM6f3tJLtVwl0023Q==",
+      "license": "Apache-2.0",
+      "dependencies": {
+        "@img/colour": "^1.1.0",
+        "detect-libc": "^2.1.2",
+        "semver": "^7.8.5"
+      },
+      "engines": {
+        "node": ">=20.9.0"
+      },
+      "funding": {
+        "url": "https://opencollective.com/libvips"
+      },
+      "optionalDependencies": {
+        "@img/sharp-darwin-arm64": "0.35.3",
+        "@img/sharp-darwin-x64": "0.35.3",
+        "@img/sharp-freebsd-wasm32": "0.35.3",
+        "@img/sharp-libvips-darwin-arm64": "1.3.2",
+        "@img/sharp-libvips-darwin-x64": "1.3.2",
+        "@img/sharp-libvips-linux-arm": "1.3.2",
+        "@img/sharp-libvips-linux-arm64": "1.3.2",
+        "@img/sharp-libvips-linux-ppc64": "1.3.2",
+        "@img/sharp-libvips-linux-riscv64": "1.3.2",
+        "@img/sharp-libvips-linux-s390x": "1.3.2",
+        "@img/sharp-libvips-linux-x64": "1.3.2",
+        "@img/sharp-libvips-linuxmusl-arm64": "1.3.2",
+        "@img/sharp-libvips-linuxmusl-x64": "1.3.2",
+        "@img/sharp-linux-arm": "0.35.3",
+        "@img/sharp-linux-arm64": "0.35.3",
+        "@img/sharp-linux-ppc64": "0.35.3",
+        "@img/sharp-linux-riscv64": "0.35.3",
+        "@img/sharp-linux-s390x": "0.35.3",
+        "@img/sharp-linux-x64": "0.35.3",
+        "@img/sharp-linuxmusl-arm64": "0.35.3",
+        "@img/sharp-linuxmusl-x64": "0.35.3",
+        "@img/sharp-webcontainers-wasm32": "0.35.3",
+        "@img/sharp-win32-arm64": "0.35.3",
+        "@img/sharp-win32-ia32": "0.35.3",
+        "@img/sharp-win32-x64": "0.35.3"
+      },
+      "peerDependenciesMeta": {
+        "@types/node": {
+          "optional": true
+        }
+      }
+    },
     "node_modules/shebang-command": {
       "version": "2.0.0",
       "resolved": "https://registry.npmjs.org/shebang-command/-/shebang-command-2.0.0.tgz",
diff --git a/package.json b/package.json
index 629c945..8f48979 100644
--- a/package.json
+++ b/package.json
@@ -13,7 +13,8 @@
     "test:watch": "vitest",
     "tools:sheet": "npx tsx scripts/chat-tools-sheet.ts",
     "seed:rewards": "npx tsx scripts/seed-reward-products.ts",
-    "upload:reward-assets": "npx tsx scripts/upload-reward-product-assets.ts"
+    "upload:reward-assets": "npx tsx scripts/upload-reward-product-assets.ts",
+    "optimize:reward-images": "npx tsx scripts/optimize-reward-product-images.ts"
   },
   "engines": {
     "node": "24"
@@ -23,7 +24,8 @@
     "@anthropic-ai/sdk": "^0.104.1",
     "@google/genai": "^2.8.0",
     "firebase-admin": "^13.6.0",
-    "firebase-functions": "^7.0.0"
+    "firebase-functions": "^7.0.0",
+    "sharp": "^0.35.3"
   },
   "devDependencies": {
     "@typescript-eslint/eslint-plugin": "^5.12.0",
diff --git a/scripts/optimize-reward-product-images.ts b/scripts/optimize-reward-product-images.ts
new file mode 100644
index 0000000..f6d0046
--- /dev/null
+++ b/scripts/optimize-reward-product-images.ts
@@ -0,0 +1,115 @@
+/**
+ * Storage의 reward-products/ 이미지 전체를 리사이즈 + WebP로 일괄 최적화한다.
+ * 같은 오브젝트 경로에 덮어쓰고 다운로드 토큰을 보존하므로 Firestore에 저장된 URL은 그대로 유효하다.
+ * 실행: npm run optimize:reward-images
+ */
+import { execFileSync, execSync } from "node:child_process";
+import { OPTIMIZED_FLAG, optimizeRewardImage, targetForPath } from "../src/services/imageOptimizeService";
+
+const storageBucket = "mmday-panit.firebasestorage.app";
+
+const accessToken = (process.platform === "win32" ?
+  execSync("gcloud auth print-access-token", { encoding: "utf8", windowsHide: true }) :
+  execFileSync("gcloud", ["auth", "print-access-token"], { encoding: "utf8", windowsHide: true })).trim();
+
+const apiBase = `https://storage.googleapis.com/storage/v1/b/${storageBucket}/o`;
+const uploadBase = `https://storage.googleapis.com/upload/storage/v1/b/${storageBucket}/o`;
+const authHeader = { Authorization: `Bearer ${accessToken}` };
+
+interface StorageObject {
+  name: string;
+  size: string;
+  contentType?: string;
+  metadata?: Record<string, string>;
+}
+
+async function listObjects(): Promise<StorageObject[]> {
+  const items: StorageObject[] = [];
+  let pageToken: string | undefined;
+  do {
+    const params = new URLSearchParams({
+      prefix: "reward-products/",
+      fields: "items(name,size,contentType,metadata),nextPageToken",
+    });
+    if (pageToken) params.set("pageToken", pageToken);
+    const res = await fetch(`${apiBase}?${params}`, { headers: authHeader });
+    if (!res.ok) throw new Error(`list failed: ${res.status} ${await res.text()}`);
+    const body = await res.json() as { items?: StorageObject[]; nextPageToken?: string };
+    items.push(...(body.items ?? []));
+    pageToken = body.nextPageToken;
+  } while (pageToken);
+  return items;
+}
+
+async function download(name: string): Promise<Buffer> {
+  const res = await fetch(`${apiBase}/${encodeURIComponent(name)}?alt=media`, { headers: authHeader });
+  if (!res.ok) throw new Error(`download failed for ${name}: ${res.status}`);
+  return Buffer.from(await res.arrayBuffer());
+}
+
+async function markOptimized(name: string): Promise<void> {
+  const res = await fetch(`${apiBase}/${encodeURIComponent(name)}`, {
+    method: "PATCH",
+    headers: { ...authHeader, "Content-Type": "application/json" },
+    body: JSON.stringify({ metadata: { [OPTIMIZED_FLAG]: "true" } }),
+  });
+  if (!res.ok) throw new Error(`metadata patch failed for ${name}: ${res.status} ${await res.text()}`);
+}
+
+/** multipart 업로드로 본문과 메타데이터(토큰 보존 + 최적화 플래그)를 한 번에 교체한다. */
+async function overwrite(obj: StorageObject, data: Buffer): Promise<void> {
+  const boundary = "reward-image-optimize-boundary";
+  const metadata = {
+    name: obj.name,
+    contentType: "image/webp",
+    metadata: { ...(obj.metadata ?? {}), [OPTIMIZED_FLAG]: "true" },
+  };
+  const body = Buffer.concat([
+    Buffer.from(
+      `--${boundary}\r\nContent-Type: application/json; charset=UTF-8\r\n\r\n` +
+      `${JSON.stringify(metadata)}\r\n` +
+      `--${boundary}\r\nContent-Type: image/webp\r\n\r\n`),
+    data,
+    Buffer.from(`\r\n--${boundary}--`),
+  ]);
+  const res = await fetch(`${uploadBase}?uploadType=multipart`, {
+    method: "POST",
+    headers: { ...authHeader, "Content-Type": `multipart/related; boundary=${boundary}` },
+    body,
+  });
+  if (!res.ok) throw new Error(`upload failed for ${obj.name}: ${res.status} ${await res.text()}`);
+}
+
+async function main() {
+  const objects = await listObjects();
+  let before = 0;
+  let after = 0;
+  for (const obj of objects) {
+    const size = Number(obj.size);
+    const target = targetForPath(obj.name);
+    if (!target) { console.log(`skip (path)      ${obj.name}`); continue; }
+    if (obj.metadata?.[OPTIMIZED_FLAG] === "true") {
+      console.log(`skip (done)      ${obj.name}`);
+      before += size; after += size;
+      continue;
+    }
+    const input = await download(obj.name);
+    const output = await optimizeRewardImage(input, target);
+    before += size;
+    if (output.data.length >= input.length) {
+      await markOptimized(obj.name);
+      after += size;
+      console.log(`skip (small)     ${obj.name} ${(size / 1024).toFixed(0)}KB`);
+      continue;
+    }
+    await overwrite(obj, output.data);
+    after += output.data.length;
+    console.log(
+      `optimized        ${obj.name} ` +
+      `${(size / 1048576).toFixed(1)}MB -> ${(output.data.length / 1024).toFixed(0)}KB ` +
+      `(${output.width}x${output.height})`);
+  }
+  console.log(`\nTOTAL ${objects.length} files: ${(before / 1048576).toFixed(1)}MB -> ${(after / 1048576).toFixed(1)}MB`);
+}
+
+main().catch((err) => { console.error(err); process.exit(1); });
diff --git a/src/index.ts b/src/index.ts
index 295be2b..5d8db09 100644
--- a/src/index.ts
+++ b/src/index.ts
@@ -16,3 +16,4 @@ export { kboDailyRefresh } from "./scheduled/kboRefresh";
 export { dailyArchive } from "./scheduled/dailyArchive";
 export { accountPurge } from "./scheduled/accountPurge";
 export { onGameCompleted } from "./triggers/onGameCompleted";
+export { onRewardImageUploaded } from "./triggers/onRewardImageUploaded";
diff --git a/src/services/imageOptimizeService.ts b/src/services/imageOptimizeService.ts
new file mode 100644
index 0000000..0dacf04
--- /dev/null
+++ b/src/services/imageOptimizeService.ts
@@ -0,0 +1,33 @@
+import sharp from "sharp";
+
+/** 이 플래그가 커스텀 메타데이터에 있으면 이미 최적화된 파일이므로 다시 처리하지 않는다. */
+export const OPTIMIZED_FLAG = "rewardImageOptimized";
+
+export const WEBP_QUALITY = 82;
+
+export interface ImageTarget { maxWidth: number; maxHeight: number; }
+
+/** 메인은 1:1 카드/갤러리용, 상세는 세로 스크롤 전체 너비용 한도. */
+export function targetForPath(objectPath: string): ImageTarget | null {
+  const match = objectPath.match(/^reward-products\/[^/]+\/(main|detail)\//);
+  if (!match) return null;
+  return match[1] === "main" ?
+    { maxWidth: 1080, maxHeight: 1080 } :
+    { maxWidth: 1440, maxHeight: 16000 };
+}
+
+export interface OptimizedImage { data: Buffer; width: number; height: number; }
+
+export async function optimizeRewardImage(input: Buffer, target: ImageTarget): Promise<OptimizedImage> {
+  const { data, info } = await sharp(input)
+    .rotate()
+    .resize({
+      width: target.maxWidth,
+      height: target.maxHeight,
+      fit: "inside",
+      withoutEnlargement: true,
+    })
+    .webp({ quality: WEBP_QUALITY })
+    .toBuffer({ resolveWithObject: true });
+  return { data, width: info.width, height: info.height };
+}
diff --git a/src/triggers/onRewardImageUploaded.ts b/src/triggers/onRewardImageUploaded.ts
new file mode 100644
index 0000000..324d9cd
--- /dev/null
+++ b/src/triggers/onRewardImageUploaded.ts
@@ -0,0 +1,46 @@
+import { onObjectFinalized } from "firebase-functions/storage";
+import { logger } from "firebase-functions";
+import { getStorage } from "firebase-admin/storage";
+import "../firebase";
+import { OPTIMIZED_FLAG, optimizeRewardImage, targetForPath } from "../services/imageOptimizeService";
+
+/**
+ * reward-products/ 아래에 업로드된 이미지를 리사이즈 + WebP로 변환해 같은 경로에 덮어쓴다.
+ * 커스텀 메타데이터(다운로드 토큰 포함)를 보존하므로 기존 URL은 그대로 유효하다.
+ * 버킷(US-CENTRAL1)과 같은 리전이어야 Eventarc 트리거가 생성된다.
+ */
+export const onRewardImageUploaded = onObjectFinalized(
+  {
+    bucket: "mmday-panit.firebasestorage.app",
+    region: "us-central1",
+    memory: "1GiB",
+    timeoutSeconds: 300,
+  },
+  async (event) => {
+    const object = event.data;
+    const target = targetForPath(object.name);
+    if (!target) return;
+    if (!object.contentType?.startsWith("image/")) return;
+    if (object.metadata?.[OPTIMIZED_FLAG] === "true") return;
+
+    const file = getStorage().bucket(object.bucket).file(object.name);
+    const [input] = await file.download();
+    const output = await optimizeRewardImage(input, target);
+
+    if (output.data.length >= input.length) {
+      // 이미 충분히 작은 파일은 재업로드 없이 플래그만 남긴다(메타데이터 변경은 finalize를 다시 발생시키지 않음).
+      await file.setMetadata({ metadata: { [OPTIMIZED_FLAG]: "true" } });
+      logger.info(`[rewardImage] skip (already small) ${object.name} ${input.length}B`);
+      return;
+    }
+
+    await file.save(output.data, {
+      contentType: "image/webp",
+      metadata: { metadata: { ...object.metadata, [OPTIMIZED_FLAG]: "true" } },
+    });
+    logger.info(
+      `[rewardImage] optimized ${object.name} ` +
+      `${input.length}B -> ${output.data.length}B (${output.width}x${output.height})`,
+    );
+  },
+);