Monetization Game Designer

Remote

Shadow Fight 4: Arena is the first mobile fighting game featuring real-time synchronous PvP alongside PvE, including a social system where players can make friends and duel with them.

The project team emphasizes meticulous attention to art, animation, UI, and game design. We are unafraid to employ sophisticated tools to overcome challenges. For example, to achieve seamless PvP, we devised a rollback system, while PBR ensures console-quality visuals, even on mobile devices. Furthermore, our animation creation utilizes proprietary software, Cascadeur, facilitating the development of realistic action animations without motion capture. These endeavors have contributed to creating a game downloaded over 70 million times, boasting an average rating of 4.7, and earning recognition from players and industry experts alike.

 

We are currently seeking a Monetization Game Designer to join our team.

Responsibilities:

  • Improve monetization metrics while maintaining the game’s other key performance indicators.
  • Optimize existing live-ops tools, such as event systems, offers, roulettes, marathons, etc.
  • Develop and describe new tools and features.
  • Design and implement processes for hypothesis testing, actively using them to achieve monetization goals.
  • Manage the live-ops plan.
  • Streamline live-ops processes to reduce the team’s time spent on routine tasks.
  • Collaborate with the producer and analytics team to refine monetization tools based on data insights.

What we are looking for:

  • Experience in meta game design, game design, or monetization game design for at least 1 year.
  • Experience in programming, scripting, and modding.
  • Strong technical background for configuration tasks.
  • Mathematics proficiency.
  • Extensive gaming experience, particularly in mobile RPGs.
  • A strong habit of playing mobile games and a commitment to continuously expanding your knowledge base.
  • Critical thinking skills.

Will be a plus:

  • Experience with mid-core projects.
  • Knowledge of scripting languages (e.g., JavaScript, Python).
  • Proficiency in data analysis techniques and tools for product analytics.
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