Senior Engineering Manager

Responsibilities

• Co-lead a cross-functional pod with Product and Design to define strategy, success metrics, and an execution roadmap for a Monetization team.
• Partner with Design and Product to ship native, delightful, well-paced learner experiences while maintaining monetization performance.
• Collaborate with Data Science and ML partners to design experiments, apply personalization and targeting, and translate insights into product improvements and bookings growth.
• Own planning and execution for multi-week projects that directly impact revenue; identify team-level metrics, establish milestones, and manage risks.
• Bring technical and product perspectives to new ideas, enabling rapid hypothesis testing without sacrificing reliability, observability, or maintainability.
• Set and uphold engineering quality standards and practices that improve reliability, scalability, and operability.

Requirements

• Experience leading, managing, hiring, developing, and retaining software engineering teams.
• Direct experience building and operating monetization systems.
• Track record of owning multi-engineer technical projects to successful outcomes in highly experimental, data-driven environments.
• Strong product instincts and written and verbal communication skills, with experience aligning engineering, product, design, and analytics stakeholders.
• Experience working with data, experimentation, or machine learning teams to inform prioritization and deliver measurable impact.
• Ability to improve engineering practices for reliability, scalability, and observability.
• Technical depth to guide architecture and implementation trade-offs, evolve quality standards, and mentor engineers.

Nice-to-haves

• Subscription systems at scale, billing and entitlements, StoreKit, Google Play Billing, receipt validation, renewals, refunds, and payment reliability.
• Designing and shipping paywalls, upgrade flows, and trial experiences in mobile apps.
• High-velocity experimentation on revenue surfaces, including ML-powered personalization and offer targeting.
• Pricing and packaging, including plan and tier design, regional pricing, promotional offers, and family or multi-seat products.
• Subscriber retention and churn initiatives, including win-back campaigns, cancellation flows, grace periods, dunning, and lifecycle messaging informed by LTV modeling.
• Subscription economics and metrics such as trial-to-paid, ARPU, gross and net bookings, cohort retention, and LTV/CAC.
• Building instrumentation and reporting for monetization metrics.

Compensation and Benefits

• Base salary range: ¥898,302–¥1,347,453 CNY.
• Base salary is supplemented by equity compensation.
• Employee benefits support holistic well-being.