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.