About Company

We combine the power of Web3 and creativity to build experiences that connect people from all corners of the globe.

Job Description

Summary

 
As a Game Designer focused on Mechanics and Live Balance, you will be responsible for designing and tuning core gameplay systems that drive player flow, engagement, and long-term retention.
 
You will operate at the intersection of game design, player psychology, and data analytics continuously optimizing difficulty curves, progression systems, and in-game economy through live data and structured experimentation.
 
 
You will have the opportunity to:
 
      Design and balance gameplay mechanics and progression systems that reinforce player flow, engagement, and retention
      Lead continuous post-launch tuning efforts
Analyze player data, win rates, and retention metrics to optimize gameplay curves and in-game economy balance
      Define and refine difficulty curves, reward structures, and Expected Value models across player segments
      Collaborate with Live Operations to maintain healthy source/sink systems and ensure sustainable in-game economic flow
      Work closely with data analysts to evaluate completion rates, retry rates, booster usage, and monetization correlations
      Build and maintain structured difficulty tiers (e.g., Normal / Hard / Boss / Event)
      Lead live tuning cycles, including hypothesis design, parameter adjustments, and performance measurement
      Partner with UX, Art, and Engineering to ensure puzzles clearly communicate goals and deliver strong feedback loops
      Design and run A/B tests on gameplay parameters, rewards, and difficulty configurations
      Document tuning frameworks, economic structures, and balancing methodologies to ensure cross-team alignment
 
Qualifications:
 
      Strong interest in game design, level design, player psychology, and data science
      Clear understanding of how difficulty design, gameplay flow, and economic systems influence retention and monetization
      Ability to analyze quantitative metrics (e.g., win/loss rates, ARPDAU, Expected Value, retention deltas) and translate insights into actionable design decisions
      Experience with capacity planning for level production in casual genres, including the use of automation and AI tools
      Comfortable iterating quickly based on live KPIs and player feedback
      Ability to thrive in Agile development environments
      Strong communication skills, with the ability to clearly articulate design intent and logic across disciplines
 
Nice to Have:
 
      Experience designing within hybrid-casual genres
      Familiarity with A/B testing frameworks and live balancing tools
      Background in economy simulation, retention modeling, or monetization design
      Hands-on experience with source/sink modeling and reward pacing systems
      Experience with expected value modeling, difficulty curve design, and win-rate-based balancing

Skills
  • Clear communication
  • Programming language (R, Python, Scala, Matlab)
  • Teamwork skills