
201 - 500 employees
Founded 2005
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
Xsolla is a company specializing in game commerce solutions. It provides tools and services that empower video game developers to monetize, distribute, and fund their games, helping them to increase revenue at any stage of development. Xsolla offers a wide range of solutions such as customizable web shops, payment processing, fraud prevention, and social packages to enhance player engagement. With over 19 years of experience in the video game industry, Xsolla collaborates with developers and publishers globally to manage compliance, taxes, and operational complexities, allowing them to focus on connecting with their players. Their services are designed to work with popular game development platforms like Unity, Unreal, and Cocos Creator, supporting a wide array of local payment methods worldwide.
🔥 7 minutes ago
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201 - 500 employees
Founded 2005
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
Xsolla is a company specializing in game commerce solutions. It provides tools and services that empower video game developers to monetize, distribute, and fund their games, helping them to increase revenue at any stage of development. Xsolla offers a wide range of solutions such as customizable web shops, payment processing, fraud prevention, and social packages to enhance player engagement. With over 19 years of experience in the video game industry, Xsolla collaborates with developers and publishers globally to manage compliance, taxes, and operational complexities, allowing them to focus on connecting with their players. Their services are designed to work with popular game development platforms like Unity, Unreal, and Cocos Creator, supporting a wide array of local payment methods worldwide.
• Define, own, and evolve Xsolla's company-wide data strategy, aligning data initiatives with the goal of improving monetization outcomes for game developers and publishers. • Translate strategy into execution: build and lead the teams, roadmaps, and infrastructure needed to turn Xsolla's data into a durable competitive advantage. • Partner with product, engineering, marketing, and operations teams to identify where data and machine learning can directly increase developer revenue and player lifetime value. • Build, guide, and evaluate machine learning and AI models — designing controlled A/B and multivariate tests to compare model approaches and rigorously validate which produce measurable monetization improvements. • Establish a scalable experimentation culture, including test design standards, statistical rigor, and clear frameworks for deciding when a model or approach should be rolled out broadly. • Own data governance, quality, security, and privacy practices, ensuring compliance with relevant regulations (e.g., GDPR) and internal policy across all markets Xsolla serves. • Build and scale a high-performing data organization, including data science, analytics engineering, and ML engineering talent. • Hire and grow a strong team of data scientists and analysts, setting the technical bar and career development path for the function. • Break down data silos across the organization and champion a data-driven culture among executive peers and cross-functional teams. • Report on data strategy progress, model performance, and monetization impact to the CTO and executive leadership team.
• Proven experience as a CDO, VP of Data/Analytics, or in a comparable senior data leadership role, ideally within gaming, monetization, payments, or a related technology sector. • Strong hands-on background in machine learning and AI, with direct experience building, training, and evaluating models — not solely managing teams that do. • Demonstrated experience designing and running A/B tests or other experimentation frameworks to compare model or product variants and drive decisions from the results. • A track record of translating data strategy into measurable business outcomes, ideally tied to revenue or monetization growth. • Deep knowledge of data governance, data architecture, and modern data infrastructure (cloud data platforms, pipelines, MLOps). • Strong executive presence and communication skills, with the ability to influence peers, the board, and cross-functional stakeholders. • Bachelor's degree in a quantitative field (Computer Science, Statistics, Data Science, Engineering, or related); advanced degree preferred. • 10+ years of progressive experience in data, analytics, or ML leadership roles, including experience building and scaling teams. • Experience working within a high-performing organization that measures success by results and impact rather than activity — and holds their team to that same standard.
• 100% company-paid medical, dental, and vision plans • unlimited Flexible Time Off • personalized career roadmap for each employee • professional development through training and educational opportunities
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