Global Game Monetization Lead in Ledston

Global Game Monetization Lead in Ledston

Ledston Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and optimise monetisation strategies for global game products.
  • Company: Join Taqar Consulting Co. L.L.C., a leader in game commercialization.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on creativity and data-driven decisions.
  • Why this job: Make an impact on the gaming industry by driving revenue and innovation.
  • Qualifications: Experience in monetisation strategies and strong analytical skills.

The predicted salary is between 63000 - 77000 Β£ per year.

Taqar Consulting Co.

C. seeks a Game Commercialization Manager to design, optimize and scale monetization strategies for global game products, focusing on revenue model development, pricing optimization and data-driven experimentation.

You will lead cross-functional collaboration with product, operations and BI teams to implement diverse monetization scenarios, monitor metrics such as ARPU, LTV and conversion rates, and refine pricing and bundles based on insights.

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Global Game Monetization Lead in Ledston employer: TAQAR CONSULTING CO. L.L.C

As a Game Commercialization Manager at our innovative gaming company, you will thrive in a dynamic work culture that values creativity and collaboration. We offer competitive benefits, including flexible working arrangements and opportunities for professional development, ensuring you can grow your career while making a meaningful impact in the gaming industry. Located in a vibrant city known for its tech scene, you'll enjoy a unique blend of work-life balance and access to a network of industry leaders.

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Contact Details:

TAQAR CONSULTING CO. L.L.C Recruitment Team

We think you need these skills to ace Global Game Monetization Lead in Ledston

Monetization Strategy Development
Revenue Model Development
Pricing Optimization
Data-Driven Experimentation
Cross-Functional Collaboration
Metrics Monitoring
ARPU Analysis