Senior Software Engineer II, Mobile - Revenue Experiences (AI Native)

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Software Engineer II, Mobile – Revenue Experiences (AI Native) based in the United States. As a Senior Software Engineer II, you will build and maintain the premium mobile experiences that drive subscription growth, customer engagement, and revenue for a large-scale consumer platform. You will take ownership of mobile features from concept and architecture through development, release, and ongoing optimization. Working primarily with Android technologies while contributing to AI-assisted iOS development, you will create seamless subscription journeys, payment flows, and monetization experiences for millions of users. You will collaborate with product, design, data science, and analytics teams to turn customer insights and experimentation into measurable business outcomes. AI-native engineering will be central to your workflow, helping you accelerate development, improve code quality, and tackle complex technical challenges. This remote-first opportunity is ideal for an experienced mobile engineer who combines strong technical expertise, product thinking, and a commitment to delivering reliable, high-performance experiences at scale. Accountabilities: - Premium Feature Development: Design, develop, maintain, and enhance premium mobile features and services, taking end-to-end ownership of quality, performance, and reliability from initial design through production. - Subscription and Monetization Experiences: Build and optimize subscription tiering, pricing, packaging, and positioning interfaces, including paywalls, plan selection, upsell and upgrade journeys, and one-time in-app purchase flows.

- Cross-Platform Mobile Development: Contribute to Android engineering and AI-assisted iOS development, ensuring consistent, intuitive, and reliable experiences across mobile platforms. - AI-Native Engineering: Integrate AI coding assistants and agentic workflows into daily development, including requirements analysis, specification creation, code generation, testing, refactoring, documentation, code review, and iteration. - Code Quality and AI Oversight: Evaluate AI-generated code with the same rigor as manually written code, validate results, identify potential issues, and remain accountable for the quality and reliability of all shipped solutions. - Mobile Performance Optimization: Deliver polished, responsive, and stable mobile experiences by optimizing application startup time, memory usage, battery consumption, application-not-responding (ANR) rates, and crash-free performance. - Experimentation and Product Optimization: Partner with product, design, data science, and analytics teams to turn hypotheses into shippable features, analyze experiment results, and guide decisions about subscription packaging, pricing, paywalls, and advertising. - Advertising Experience Management: Maintain and improve advertising experiences, including ad placement and mediation, while minimizing negative impacts on application performance, stability, and user experience. - Architecture and Engineering Standards: Contribute to architectural decisions, code reviews, technical standards, and continuous improvement initiatives across mobile codebases. - Production Reliability and Support: Participate in on-call rotations, investigate production incidents, and resolve issues affecting premium features and application releases. - Technical Leadership and Mentorship: Mentor fellow engineers, share technical knowledge, and contribute to team processes and engineering practices that improve delivery quality and efficiency. - AI Workflow Innovation: Identify effective AI-assisted development techniques, share reusable prompting strategies, automate repetitive tasks, and recommend tools that improve engineering productivity across the team.