Scopely is a leading video game and global interactive entertainment company, and they are seeking a Lead Product Manager for their Monopoly GO! game team. This role focuses on driving player engagement and retention through the development of a balanced economic framework and collaboration with cross-functional teams.
Responsibilities:
- Architect and evolve Monopoly GO!’s economy to establish a balanced and enduring framework, ensuring 'Monopoly GO!' remains a timeless title
- Collaborate with cross-functional teams, including game designers, developers, analytics, and marketing to align the game economy with overall product goals
- Craft and be responsible for the economic framework for our products, including currency systems, pricing strategies, inflation control, and reward mechanisms
- Design and implement sophisticated economic models to predict player behavior and advise strategic decisions, driving the product's long-term success
- Apply data analytics to gain insights into player behaviors, guiding strategic adjustments that boost retention, improve social interactions, and enhance monetization
- Forecast the impact of economic changes, employing A/B testing and other analytical methods to validate strategies and optimize outcomes
- Communicate economic concepts and strategies efficiently to partners at all levels, including presentations to senior management
- Lead and mentor other economy team members, promoting a culture of creativity, analytical thinking, and alignment with game development goals
Requirements:
- Exemplified experience as a Product Manager responsible for free-to-play game economies with solid understanding of player motivations and market dynamics
- Excellent proficiency in spreadsheets, data visualization, and crafting compelling presentations that simplify sophisticated concepts
- Equivalent experience in Economics, Business, Statistics, Mathematics, Engineering, Data Science, Data Analytics, Finance, or a related analytical field will be considered
- Demonstrated cross-collaboration skills, working effectively with Product, Design, and LiveOps teams
- Outstanding skills in SQL, R, Python, and/or other analytics and modeling platform