Senior Software Engineer II, AI Native, Mobile

About Life360

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 emergency dispatch. Life360 serves approximately 97.8 million monthly active users (MAU), as of March 31, 2026, across more than 180 countries. 

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 basically family).

Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.

Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above. 

We are AI Native

We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.

Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.

About The Team

The Experimentation & ML Intelligence team at Life360 is the engine behind how we learn what actually moves the needle for our members. We design, ship, and analyze high-velocity experiments across the mobile app — onboarding, activation, feature awareness, subscription conversion, and retention — so every product decision is grounded in evidence rather than instinct. Our work directly shapes how nearly 100 million people experience Life360.

We are a product-minded, AI-Native engineering team. That means AI isn't just a tool we use — it's how we work. We've redesigned our team workflows around AI, treating it as a first-class collaborator at every stage: ideation, coding, testing, review, and iteration. We ship faster and go deeper because of it, and we're looking for someone who wants to help define what that looks like at scale.

About the Job

Life360 is hiring an AI-Native Senior Software Engineer II, Mobile — a senior engineer who doesn't just use AI tools, but thinks natively in them. You'll be central to how the Experimentation & ML Intelligence team designs and ships growth experiments across the Life360 app, and how we use AI for development going forward.

You'll design and build the features, flows, and experiments that drive activation, conversion, and retention — running dozens of concurrent tests safely and confidently to learn what moves the needle for our members. You'll evolve our modern AI-Native engineering workflows — from how we write code, to how we run standups, to how we think about team velocity. You'll publish AI-native engineering playbooks the broader mobile org adopts.

This role is Android-first, but our AI-Native journey rewards engineers who treat platform boundaries as fluid — willing to build across iOS, web, or backend when an experiment or member needs calls for it.

In your first year, success looks like owning end-to-end delivery across multiple concurrent experiment surfaces and having at least one AI-native workflow adopted beyond this team.

For candidates based in the US, the salary range for this position is $118,500 to $216,500 USD. For candidates based out of Canada, the salary range for this position is $171,500 to $201,000 CAD. Note: Please be aware that the job title for positions in Canada will be "Developer" in lieu of "Engineer." We take into consideration an individual's background and experience in determining final salary - therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

What You’ll Do

• Design and build high-quality Android growth features and experiments — across onboarding, activation, feature awareness, subscription conversion, and retention — running dozens of concurrent tests across the Life360 app.
• Partner with product, design, data science, and analytics to translate hypotheses into shippable experiments, and turn results into the next decision.
• Work with AI (Claude Code) as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate Kotlin code and tests, verify results, and perform reviews.
• Instrument experiments accurately — exposure logging and analytics — so the results downstream teams rely on are trustworthy.
• Ship polished, performant, and reliable Android experiences to tens of millions of users — with strong attention to startup time, memory, battery, ANR, and crash-free rates.
• Help define and codify AI-Native Android engineering practices for the team, establishing playbooks the broader mobile org can adopt.
• Contribute to architectural decisions, code reviews, and a culture of craft and continuous improvement on the Android codebase.
• Participate in on-call rotation and incident response for mobile experiments and releases.
• Use agentic workflows to dramatically increase the delivery of strong outcomes — moving faster without sacrificing quality.
• Mentor team members and contribute to team processes, technical standards, and help evolve the team's AI-native engineering practices.
• Support performance, reliability, and accessibility across the Android features you own.

What We’re Looking For

Technical foundation:

• 6+ years of Android software engineering experience shipping production apps at consumer scale.
• At least 1 year of hands-on experience prompting, evaluating, and building with LLMs.
• 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 (Gradle modules, Maven).
• Deep experience with agentic workflows, prompt engineering, context-window management, and MCP/function calling — you understand the research-plan-implement cycle but don't outsource thinking to agents.
• Bachelor's degree in a technical field, or equivalent experience.

What matters most to us:

• Growth mindset - You structure problems precisely, you learn quickly, you can show interest outside “your lane”, and you are always happy to try something new
• Collaborative approach - You communicate clearly, work well across teams, and value diverse perspectives
• Ownership mentality - You take responsibility for your work from design through production and beyond
• AI-native working style - You use AI tooling (Claude Code or equivalent) as a genuine development partner: delegating discrete tasks, reviewing outputs critically, and running parallel workstreams rather than hand-holding one agent at a time
• Thoughtful communication - You can explain technical tradeoffs and articulate ideas effectively
• We believe culture fit and problem-solving ability matter more than checking every technical box. We're happy to help you grow into areas where you have less experience.

Nice-to-Have

• Experience working with an experimentation platform (Statsig, LaunchDarkly, Optimizely, Eppo, GrowthBook, or similar).
• Background in mobile analytics pipelines (Amplitude, Segment, Snowflake/Databricks downstream).
• Familiarity with Bayesian or sequential testing methods and how they affect client-side implementation.
• Previous work on subscription, paywall, or onboarding surfaces at consumer scale.
• Contributions to mobile open source or internal developer toolin