Product Manager

About this role

Our client, a fast-scaling international marketing company, is a major player in the iGaming industry, with a dedicated focus on expanding operations across Asia. From deep market research and business strategy to performance-driven digital campaigns and bold creatives, the team manages the entire marketing lifecycle to help clients stay ahead in one of the world’s most competitive industries. Perfect for those who aim to: Gather, analyze, and document business and technical requirements for new product features and platform improvements; Orchestrate payments, integrate PSPs, architect gateway flows, maximize success rates, manage deposits and withdrawals, streamline KYC processes, handle reconciliation and settlement, and optimize the end-to-end payment funnel; Translate business needs into clear specifications (user stories, acceptance criteria, workflows) for development teams; Collaborate closely with engineering, QA, design, and external vendors to ensure accurate and timely delivery; Conduct in-depth analysis of product metrics and funnels to identify pain points, opportunities, and areas for optimization; Conduct and support A/B testing and other validation experiments by defining success metrics and interpreting results; Maintain up-to-date product documentation and ensure knowledge sharing across teams; Act as a bridge between business stakeholders and technical teams, facilitating effective communication and alignment.

Experience you’ll need to bring: 2–4 years of experience as a Product Manager or Business Analyst in digital B2C products; Proven track record of writing detailed specifications and managing product backlogs; Managed and optimized end-to-end payment operations, including PSP integrations, payment gateway flows, deposits and withdrawals, KYC and identity verification, reconciliation and settlement, with a strong focus on payment success rates and overall funnel performance; Strong analytical and problem-solving skills with hands-on experience using BI tools (e.g., Amplitude, Tableau, Excel); Familiarity with A/B testing methodologies and statistical significance evaluation; Solid understanding of system architecture concepts (APIs, data flows, integrations, front-end vs.