LiveOps Game Economy Architect

Vira Games Inc.; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

Vira Games Inc. is seeking a skilled Game Economist to balance mobile F2P economies, design progression, and optimize monetization across live operations. You will build mathematical models, validate decisions with analytics, and collaborate with design, development, and analytics teams.

The role requires deep knowledge of retention metrics, LTV/ARPDAU, and proficiency in SQL and advanced spreadsheets to maintain scalable, production-ready data formats and documentation.

Qualifications

• 3+ years as an economist in mobile F2P games.
• Experience with Core and Meta cycles.
• Experience with LiveOps games.
• Advanced Excel or Google Sheets skills (formulas, pivot tables).
• Ability to build readable and maintainable mathematical models.
• Understanding of probability theory, progression curves, and drop rates.
• Knowledge of retention metrics (Retention, Session Length) and monetization metrics (LTV, ARPDAU, Conversion).
• Basics of SQL for data retrieval and analysis.

Responsibilities

• Balance the game economy from tutorials to late game and adjust currency value.
• Design progression by computing experience, pace, and session length.
• Manage monetization with balanced hybrid IAP + Ads strategies.
• Write production-ready GDDs with data formats and analytics needs.
• Audit game economics and maintain a unified project knowledge base.
• Identify and fix vulnerabilities in game balance and logic.
• Build and maintain live economic models and progression curves.
• Analyze playtest data and metrics to justify decisions with numbers.
• Collaborate with game design, development, and analytics teams.

Skills

Game economy design

LiveOps experience

Data analysis

SQL

Excel/Sheets

Math modelling

Retention metrics

LTV/ARPDAU understanding

Tools

SQL

Job description

Vira Games Inc. is seeking a skilled Game Economist to balance mobile F2P economies, design progression, and optimize monetization across live operations. You will build mathematical models, validate decisions with analytics, and collaborate with design, development, and analytics teams.

The role requires deep knowledge of retention metrics, LTV/ARPDAU, and proficiency in SQL and advanced spreadsheets to maintain scalable, production-ready data formats and documentation.