Senior Account Manager - China (Mobile Gaming)

Location: Beijing, China; full-time, permanent employee

Company

A global rewarded user engagement and acquisition platform for mobile gaming with more than 50 million downloads, helping players discover games and gaming studios grow their titles.

What you will do

• Advise Chinese mobile game studios and publishers as a trusted commercial partner, supporting retention and loyalty.
• Develop account growth strategies, expand publisher spend, and identify cross-sell and upsell opportunities across titles, geographies, and events.
• Analyze CPI, ROAS, post-install conversion, retention, and other campaign metrics to diagnose delivery issues and optimize offer structures.
• Deliver data-backed Quarterly Business Reviews and provide clear optimization recommendations.
• Coordinate campaign execution between Chinese advertiser teams and European HQ across sales, ad operations, and product.
• Translate publisher feedback into roadmap requests, lead renewals and contract renegotiations, and advocate for budget increases.

Requirements

• 3–5 years of experience in account management, campaign management, or performance client services within mobile adtech, mobile gaming, rewarded advertising, or user acquisition.
• Strong understanding of CPI, CPA, ROAS, LTV, retention, offerwalls, and rewarded engagement models.
• Comfort working with raw campaign performance data, diagnosing anomalies, challenging assumptions, and presenting optimization paths.
• Growth-oriented commercial mindset focused on increasing budgets and share of wallet.
• Full professional fluency in Mandarin and business fluency in English.
• Diplomatic communication skills and confidence handling challenging commercial discussions and pushback.
• Proactive, self-driven approach with the ability to work autonomously in a fast-paced, cross-border environment.

Nice to have

• Experience working with China-based publishers exporting games globally.

Culture & Benefits

• Fast-paced environment focused on rapid testing, execution, and learning from failure.
• AI tools are used to reduce repetitive work and improve operating speed.
• Direct communication, focus on essential priorities, and strong ownership of problems.
• Respectful collaboration, constructive disagreement, trust, and accountability.