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Game District

Posted 29 Sep 2026

Product Specialist

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Employment
Full time
Posted
29 Sep 2026

About the role

Product Specialist

Game District is looking for an analytical and passionate Product Specialist to join our team and help shape the future of our mobile entertainment products.

Key Responsibilities
  • Design and document new product features, LiveOps events, and progression systems.
  • Set up, execute, and analyze A/B tests to validate hypotheses and inform product decisions.
  • Analyze user behavior, product data, and user feedback to identify opportunities to improve engagement, retention, and monetization.
  • Model and balance user journeys, behaviors, and monetization funnels using spreadsheets and mathematical simulations.
  • Conduct competitor research and market analysis to identify trends in the mobile entertainment space.
  • Collaborate cross-functionally with Engineers, Artists, User Acquisition, and QA teams to ensure features are delivered with quality and clear intent.
  • Review user feedback from community channels, app store reviews, and Discord to identify actionable insights.
  • Contribute ideas to brainstorming sessions and support the development of the product roadmap.
Key Requirements
  • Bachelor’s degree in a quantitative field.
  • Fresh graduates are strongly encouraged to apply.
  • 2-3 years of relevant experience is welcome.
  • Genuine passion for mobile entertainment products and curiosity about how they are built, balanced, and monetized.
  • Strong analytical mindset with the ability to work with data, spreadsheets, and mathematical models.
  • Strong communication, collaboration, and problem-solving skills.
Bonus Requirements
  • Familiarity with mobile F2P games and an understanding of their core loops, mechanics, and monetization systems.
  • Proficiency in Google Sheets or Microsoft Excel, including formulas, pivot tables, and basic modeling.
  • Understanding of A/B testing, statistics, or experimentation frameworks.
  • Familiarity with data analytics and visualization tools such as SQL, Power BI, or Tableau.
  • Educational background in Economics, Statistics, Mathematics, Computer Science, Business, or a related quantitative field.
  • Familiarity with design and collaboration tools such as Figma and Miro.

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