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Conversion Ops Manager

Work from home Full-time role Hiring

ABOUT US

At Xsolla, we believe that great games begin as ideas, driven by the curiosity, dedication, and grit of creators around the world. Our mission is to empower these visionaries by providing the support and resources they need to bring their games to life. We are committed to leveling the playing field, ensuring that every creator has the opportunity to share their passion with the world.

Headquartered in Los Angeles, with offices in Berlin, Seoul, and beyond, we partner with industry leaders like Valve, Twitch, and Ubisoft to clear the paths for innovation in gaming. Our global reach spans over 200 geographies, offering more than 700 payment methods in 130+ currencies.

Longevity

Opportunity

Vision

Enjoy the game!

ABOUT THIS ROLE

Xsolla is seeking a Conversion Ops Manager to take full ownership of monitoring, investigating, and improving payment conversion rates across our global ecosystem. This role starts with hands-on analysis — identifying underperforming intersections (games × payment methods × regions), uncovering root causes, and coordinating resolutions across multiple teams. Over time, you’ll turn your insights into scalable systems powered by automation and ML models.

You’ll be the key driver in transforming how we manage one of the most business-critical metrics in payments — from reactive fixes to proactive, data-informed optimization. The role requires close collaboration with Product, AFS, Data, Partner Success teams, and, in some cases, direct communication with our partners.

RESPONSIBILITIES

  • Monitor payment conversion trends across games, platforms, regions, and payment methods
  • Investigate underperformance signals and uncover root causes behind conversion drops
  • Coordinate follow-ups with internal teams (Product, AFS, Data, Partner Success) to drive resolutions
  • Maintain structured documentation of findings, insights, and improvement opportunities
  • Support the development of alerting logic and data-driven performance tracking
  • Develop and deploy ML models for proactive anomaly detection and trend forecasting.
  • Contribute to internal reports, partner-facing updates, and strategic improvement planning
  • REQUIREMENTS

  • Strong background in data analysis and hands-on experience with large datasets (SQL, Python, etc.)
  • In-depth understanding of conversion funnels and the dynamics of payment systems.
  • Understanding of machine learning techniques relevant to anomaly detection, forecasting, and time series analysis.
  • Proficient in SQL and data visualization tools.
  • Experience building data pipelines, dashboards, and automated reporting systems.
  • Familiar with identifying and troubleshooting issues that impact customer relations from both product and data perspectives.
  • Excellent communication skills, capable of translating technical findings into clear, actionable insights for both internal teams and external partners.
  • Strong documentation skills, adept at managing multiple investigations simultaneously, and skilled in thinking within structured frameworks.
  • Proactive in seeking out signals and patterns to address potential issues before they escalate.
  • NICE TO HAVE

  • Experience in interpreting payment response codes, transaction flows, or PSP behaviors.
  • Experience in product operations, fintech, gaming, or payments.
  • Additional Information

    The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.

    Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.

    For any inquiries related to data privacy, please contact: [email protected]

    Explore more opportunities at:

    https://xsolla.com/careers

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