Salary
≈ $21k – $47k per year (Estimated)
Location
In office (Lahore)
Seniority
Senior · 5+ years exp
Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 20, 2026.
Overview
Company
Impact
Profile match
Game District is a Mobile Games Company doing 3d & 2d games, Interactive apps, App Marketing & ASO, Game Publishing and Game Development.
Product Manager
Game District is looking for an analytical and passionate Product Manager 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.
- 5+ 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 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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