ゲームデザイナー（イベント）Game Designer (Events) (Japan)

ゲームデザイナー（イベント）

• 実験・運用基盤活用スキル：A/Bテスト基盤やRemote Config等を理解し、配信後も安全にバランス調整・検証を回せる能力
• モデリング/シミュレーション設計スキル：経済・継続・収益をモデル化（予測）し、設計の意思決定に使える能力
• 経済循環（Source/Sink・報酬ペース）設計スキル：通貨/報酬の供給と消費を設計し、インフレ/枯渇を抑えられる能力
• 定量バランシングスキル：期待値・難易度曲線・勝率データを用いて、調整を再現性高く行えるの能力
• A/Bテストフレームワークおよびライブバランシングツールの理解
• 経済シミュレーション、リテンションモデリング、マネタイズ設計のバックグラウンド
• ソース／シンク設計、報酬ペーシング設計の実務経験
• 期待値モデリング、難易度曲線設計、勝率ベースバランシングの経験

 As a Game Designer focused on Live Events and Economy Balance, you will own the design and optimization of event mechanics, progression systems, and reward structures that drive Engagement and Retention.

You will operate at the intersection of F2P system design, live data analytics, and player psychology — ensuring that event performance, economy health, and long-term LTV are strategically aligned.

This is a high-ownership role requiring strong communication with leadership, cross-functional collaboration, and the ability to translate live KPIs into structured design decisions.

• Design event mechanics, progression systems, and reward structures that increase Engagement and Retention
• Continuously tune difficulty, rewards, and Expected Value (EV) using live data
• Optimize event KPIs such as participation rate, completion rate, and replay loops across player segments
• Maintain healthy Source/Sink balance and manage long-term economic impact
• Collaborate with stakeholders to drive structured improvements through A/B testing and documentation
• Design and balance mechanics that strengthen player flow, engagement, and retention
• Lead post-launch tuning cycles, including hypothesis design, parameter adjustments, measurement, and iteration
• Analyze win rates, EV, retention deltas, and gameplay curves to optimize long-term economy balance
• Define and maintain structured difficulty tiers (e.g., Normal / Hard / Boss / Event)
• Work closely with Data Analysts to evaluate completion rates, retries, booster usage, and monetization correlations
• Partner with UX, Art, and Engineering to optimize player communication and feedback loops
• Document tuning frameworks and economic design methodologies for cross-team alignment

• Strong understanding of experimentation frameworks (A/B testing platforms, Remote Config systems) and safe live balancing practices
• Modeling and simulation capabilities for economy, retention, and revenue forecasting
• Expertise in economic circulation design (Source/Sink balance, reward pacing, inflation control)
• Quantitative balancing skills using Expected Value modeling, difficulty curves, and win-rate data
• Experience with economy simulation, retention modeling, and monetization design
• Hands-on experience with live balancing tools and experimental infrastructure