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

This is a senior mobile engineering role focused on building and scaling revenue and growth experimentation across a high-traffic consumer application. You will turn product hypotheses and data insights into production-ready experiments spanning subscriptions, pricing, advertising, purchases, and upgrade experiences. The role combines strong Android engineering with experimentation, analytics, performance, and AI-native development practices. You will work closely with Product, Design, Data Science, and Analytics teams to rapidly test ideas and turn results into informed product decisions. As an AI-native engineer, you will use agentic tools throughout ideation, coding, testing, review, and iteration. The role offers significant ownership, technical influence, and the opportunity to establish engineering practices adopted across the broader mobile organization.

• 6+ years of professional Android software engineering experience building and shipping production applications at consumer scale.
• At least 1 year of hands-on experience prompting, evaluating, and building with large language models.
• Strong Kotlin and Jetpack Compose expertise, along with deep familiarity with the modern Android development ecosystem, including Android Studio, Kotlin Coroutines, and Flow.
• Experience with Android architecture patterns and frameworks such as MVVM, MVI, Clean Architecture, Jetpack ViewModel, Navigation, Hilt, or Dagger within large, multi-team codebases.
• Practical experience with mobile experimentation concepts including feature flags, A/B testing, exposure logging, holdouts, and guardrail metrics.
• Strong understanding of mobile performance, memory, battery, ANR, and crash diagnostics, using tools such as Android Studio Profiler, Perfetto/Systrace, Macrobenchmark, Crashlytics, or equivalent technologies.
• Experience with Android CI/CD and build systems, including Gradle, Fastlane, GitHub Actions, Bitrise, or similar platforms, as well as modular application architectures.
• Deep experience with agentic development workflows, prompt engineering, context-window management, and MCP/function calling, with the judgment to use AI as leverage without outsourcing engineering decisions to agents.
• Strong ownership and agency, with the ability to take an incomplete hypothesis or loosely defined problem and independently move it toward a working product experience.
• Demonstrated ability to own technical outcomes throughout design, development, deployment, experimentation, and production support.
• Strong product judgment and engineering craft, with the ability to articulate what makes an effective experiment, rollout, and user experience.
• Excellent communication and collaboration skills, including the ability to work effectively with cross-functional teams and give and receive constructive feedback.
• Bachelor's degree in a technical field or equivalent practical experience.
• Experience with experimentation platforms such as Statsig, LaunchDarkly, Optimizely, Eppo, or GrowthBook is a plus.
• Familiarity with mobile analytics platforms and pipelines such as Amplitude, Segment, Snowflake, or Databricks is desirable.
• Knowledge of Bayesian or sequential testing methodologies and their implications for client-side experimentation is an advantage.
• Experience with subscription, paywall, pricing, onboarding, or other monetization surfaces at consumer scale is valuable.
• Deep expertise in at least one of Kotlin/Android, Swift, or React, with the ability to work comfortably across another platform.
• Contributions to mobile open source projects or internal developer tooling are a plus.