About the Job
Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with...
Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basica...
Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.
Key Responsibilities
Design, build, and maintain the premium features and services behind Life360 membership, owning their quality from design through production: new features, extensions to existing ones, and the unglamorous fixes that keep them reliable.
Build the surfaces that carry our subscription tiering, pricing, packaging, and positioning: paywalls, plan selection, upsell and upgrade flows, and one-time purchase (IAP) flows.
Own the quality of the ads experience, including placement, mediation, and the performance and stability impact ads have on the app.
Partner with product, design, data science, and analytics to turn hypotheses into shippable work and results into the next decision — pushing back when a hypothesis or plan doesn't hold up.
Work with AI (Claude Code or equivalent) as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews.
Ship polished, performant, reliable experiences to 100M+ users, with strong attention to startup time, memory, battery, ANR, and crash-free rates.
Contribute to architectural decisions, code reviews, and a culture of craft and continuous improvement across the mobile codebases.
Participate in on-call rotation and incident response for premium features and releases.
Mentor other engineers and contribute to team processes, technical standards, and the evolution of the team's AI-native engineering practices.
Required Skills & Abilities
6+ years of Android software engineering experience shipping production apps at consumer scale.
Cross-platform, including 1+ year of AI-assisted iOS development.
Experience with in-app billing and subscription platforms (Google Play Billing and StoreKit).
Strong proficiency with Kotlin and Jetpack Compose (and the Android View system); deep familiarity with the modern Android toolchain (Android Studio, Kotlin Coroutines, Flow).
Experience with Android architecture patterns (MVVM, MVI, Clean Architecture, Jetpack/ViewModel/Navigation, Hilt or Dagger) in a large, multi-team codebase.
Comfort with mobile experimentation concepts: feature flagging, A/B testing, exposure logging, holdouts, and guardrail metrics.
Solid grounding in mobile performance, memory, battery, ANR, and crash diagnostics (Android Studio Profiler, Perfetto/Systrace, Macrobenchmark, Crashlytics or equivalent).
Experience with CI/CD for Android (Gradle, Fastlane, GitHub Actions, Bitrise, or similar) and modular build systems.
Strong technical expertise in LLM-powered agentic systems, prompt engineering, context-window optimization, and MCP-based integrations.
Communicates tradeoffs clearly.
Bachelor's degree in a technical field, or equivalent experience.
Experience with mobile ad SDKs and mediation (AdMob, AppLovin MAX, or similar).
Experience working with an experimentation platform (Statsig, LaunchDarkly, Optimizely, Eppo, GrowthBook, or similar).
Background in mobile analytics pipelines (Amplitude, Segment, Snowflake/Databricks downstream).
Contributions to mobile open source or internal developer tooling.
We use AI coding tools as a professional standard on this team. In practice:
Daily use — You use AI coding assistants (we support Claude Code, Cursor, and GitHub Copilot) for real, substantive tasks: analysis, coding, refactoring, testing, navigating codebases, and documentation, not just research or autocomplete.
Judgment and ownership — AI-generated code gets the same review you'd give any PR. You are accountable for everything you ship.
Velocity — We expect senior engineers who use AI well to operate with meaningful leverage, taking on problems that would otherwise require a larger team.
Team leadership — You share what works, automate prompting strategies others can build on, and help teammates earlier in their AI workflow adoption get up to speed.
Continuous learning — The tooling changes fast. You stay current and bring recommendations to the team when something would meaningfully improve how we work.
