Voodoo

Beijing

Economy Designer - China

FULL TIME ON-SITE MID
Posted 3 months ago

Summary

Role Overview

This role focuses on a new team in China dedicated to midcore games, aiming to increase revenue streams and monetization depth. The primary goal is to transform promising midcore games into successful, market-ready hits by optimizing game economies and player engagement.

Key Responsibilities

  • Increase revenue streams and monetization depth with a long-term vision.
  • Analyze in-game data to identify opportunities for optimizing and growing game economies.
  • Create and maintain models of in-game economies, considering player progression, currency flow, and reward systems.
  • Design and analyze A/B tests for economic models and features, implementing effective solutions based on data.
  • Collaborate with Game Designers, Developers, and Analysts to align economic strategies with game design goals and KPIs.
  • Present findings and recommendations to stakeholders to drive informed decision-making.

Requirements Snapshot

  • 3+ years of experience as a Midcore Game Designer, with 2+ years in Game Economy Design or Monetization.
  • Experience with midcore mobile games and free-to-play (f2p) monetization loops.
  • Strong mathematical or economic background with fluency in economic modeling and relevant tools.
  • Clear communication skills in both English and Chinese (written and verbal).
  • Entrepreneurial mindset.

Expected Impact

The expected impact of this role is to significantly boost the revenue and monetization success of midcore games developed by Voodoo's China-based studios. This includes driving player engagement and ensuring the long-term viability and profitability of these titles.

Why Apply

  • Opportunity to work with a leading global mobile game publisher with a strong track record.
  • Be part of a dynamic, new team focused on the exciting midcore game genre in the Chinese market.
  • Contribute to the transformation of promising games into market-leading hits.

This summary was generated from the original job posting (AI-assisted, human-reviewed). For full details, visit the company's site.