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

Accountabilities: • Design, build, and launch high-quality Android growth and monetization features, including subscription paywalls, pricing experiments, advertising placements and mediation, in-app purchases, and upsell or upgrade flows.

• Own multiple concurrent experiments from hypothesis through production, translating rough ideas, data insights, or partially defined briefs into safely instrumented experiences.

• Partner with Product, Design, Data Science, and Analytics to translate hypotheses into shippable experiments, evaluate results, and determine subsequent product decisions.

• Challenge assumptions and proposed approaches when data or technical evidence suggests that a hypothesis or plan should be reconsidered.

• Use AI coding assistants and agentic workflows as first-class development collaborators for specifications, implementation, testing, analysis, code review, and iteration.

• Instrument experiments accurately through exposure logging, analytics, holdouts, and appropriate guardrail metrics so downstream decisions are based on trustworthy results.

• Deliver performant and reliable Android experiences to a large consumer audience, with close attention to startup performance, memory, battery usage, ANR rates, and crash-free performance.

• Move quickly from ambiguous concepts to working experiences, using early releases as learning opportunities and iterating based on real-world results.

• Help establish and document AI-native Android engineering practices, workflows, and playbooks that can be adopted across the broader mobile organization.

• Contribute to architecture decisions, code reviews, technical standards, and continuous improvement of the Android codebase.

• Participate in on-call rotations and incident response related to mobile experiments and releases.

• Mentor other engineers and contribute to team processes, technical standards, and the continued evolution of AI-native engineering practices.

Requirements:

• 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.

Benefits:

• U.S. salary range of $118,500–$216,500 USD, with final compensation influenced by location, background, job-related knowledge, skills, and experience.

• Canadian salary range of $171,500–$201,000 CAD for eligible Canadian employees.

• Total compensation includes equity in the form of Restricted Stock Units (RSUs).

• Comprehensive medical, dental, vision, financial, and other benefits.

• Medical, dental, vision, life, and disability insurance, with U.S. employee medical, dental, and vision coverage fully paid.

• 401(k) with company matching in the U.S. and RRSP with DPSP for Canadian employees.

• Paid parental leave.

• Mental Wellness Program and Employee Assistance Program.

• Flexible paid time off, company holidays, and summer and winter shutdown periods.

• Learning and development programs.

• Equipment, tools, and reimbursement support for remote work.

• Free premium membership and tracking-device benefits.

• Remote-first work environment for eligible employees in the U.S. and Canada.

• Opportunity to work on high-scale mobile experimentation affecting a large global user base.

• Opportunity to shape AI-native engineering workflows and influence practices across the broader mobile organization.

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