Campaign Management Team – Operations Assistant (Part-time)

This role provides administrative support to the PWS (Professional Workflow Solutions) team in the Asia-Pacific region. Responsibilities include scheduling, coordination, and general team assistance.

This role drives end-to-end delivery excellence for GenAI projects, ensuring task configuration, contributor performance, and data quality align with client expectations. It involves cross-functional coordination and continuous improvement of delivery standards at scale.

This Support Engineer role within the Product department at AppsFlyer's Beijing office provides technical support to customers, troubleshooting issues and ensuring customer satisfaction. The role requires strong problem-solving skills and knowledge of AppsFlyer's products.

This role manages contributor onboarding and qualification processes for AI, LLM, and data collection projects. Responsibilities include building workflows, creating enablement materials, evaluating contributor performance, and maintaining readiness dashboards. Requires 2-3 years of experience in metric-driven environments and proficiency in Excel and Power BI.

This Strategic Account Manager role drives revenue retention and growth for high-value advertising clients in Türkiye. The role involves owning 12-month account growth plans, solving complex performance and measurement challenges (e.g., attribution, incrementality, SKAN), and acting as a trusted advisor to client executives. The ideal candidate has deep AdTech/mobile advertising experience, commercial acumen, and fluency in the performance marketing stack.

This Technical Solution Engineer role at Appier in Seoul focuses on ensuring optimal adoption of Appier's AI-empowered ad solutions for Korean-speaking clients. The engineer will guide clients through onboarding, troubleshoot technical issues, develop internal tools and scripts, and analyze data to provide insights. Requires native Korean and professional English, SQL and JavaScript proficiency, and experience with mobile measurement partners like AppsFlyer or Adjust.

This Machine Learning Scientist (Modeling & Evaluation) role is responsible for end-to-end development of optimization solutions, from problem definition to production deployment, for Appier's Enterprise Solution Science Team. The role involves designing ML models and evaluation methods for LLM output, running A/B tests, and monitoring solutions post-launch. Requires a Master's or PhD, 2+ years of ML experience, and hands-on experience with classification, regression, ranking, retrieval, and LLM-as-a-judge.