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