Senior Software Engineer II AI-Native, Mobile, Developer Experience

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

Platform Foundations is part of Life360's Developer Experience Group (DevX) — the AI platform layer powering how engineers build, test, and ship at Life360. We own the foundational infrastructure that makes the entire development lifecycle faster, safer, and more intelligent. We're a small team with outsized impact, building the systems other engineers depend on every day — and we're doing it with an AI-native mindset from the ground up.

We're building the systems, platforms, and intelligence that power the entire software delivery lifecycle. Our work spans continuous testing infrastructure, self-healing test systems, AI-native developer tooling, agentic quality automation, and the observability pipelines that keep Life360's engineering engine running at scale. We partner closely with Mobile, Backend, and Release Engineering teams — and our output directly shapes the speed, confidence, and quality with which Life360 ships to millions of families around the world.

We move fast, think in systems, and care deeply about craft. You'll have high autonomy, real ownership, and the opportunity to define what AI-native engineering infrastructure looks like — not just at Life360, but as a model for the industry.

About the Job

This role is not about writing software. It is about producing software — at a level of quality, speed, and scope that would previously have required a much larger team.

Our group is the AI platform layer that powers how engineers build, test, and ship across Life360's mobile and cloud products. Platform Foundations — the team you'd be joining — owns the foundational infrastructure that makes the entire development lifecycle faster, safer, and more intelligent.

We're looking for a Mobile Engineer who has strong iOS and/or Android engineering roots, but whose center of gravity has shifted: you think in systems, you direct AI to produce outcomes, and you're energized by the idea of rebuilding how mobile software gets made, tested, and validated — from the ground up.

This role sits at the intersection of mobile engineering, platform infrastructure, and applied AI. You'll help us move Life360 toward a fully AI-native product development lifecycle (PDLC) — one where continuous testing, self-healing systems, and agentic workflows are the default, not the exception.

AI-Native Expectations

We use AI coding tools as a professional standard on this team. Here's what that means 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 — doing more with the same time, taking on problems that would otherwise require a larger team.
• Team leadership: You share what works. You automate prompting strategies that others can build on and help teammates earlier in their AI workflow adoption get up to speed.
• Continuous learning: The tooling is changing fast. You stay current and bring recommendations to the team when something would meaningfully improve how we work.

What You’ll Do

• Design and build platform-level test infrastructure for iOS and Android that runs continuously, scales automatically, and surfaces signals without human intervention.
• Apply AI-driven failure classification to reduce noise, prioritize signal, and cut time-to-fix on test failures across mobile suites.
• Partner with the AI Native platform team to ship net-new skills that replace categories of manual engineering work.
• Build and maintain in-app instrumentation for mobile performance, quality signal, and test execution telemetry.
• Design data pipelines that feed quality signals into dashboards, alert systems, and AI analysis layers, providing the org with real-time visibility into test health and app quality.
• Own the infrastructure used to baseline, monitor, and debug mobile API behavior in CI.
• Partner with Mobile, Backend, and Release Engineering teams to embed AI-native quality practices throughout the development lifecycle — from intent to production.
• Contribute to the design and rollout of agentic quality automation: systems that act on quality signals rather than just report them.
• Raise the pod’s AI-native capability — documenting what works, improving shared workflows, and helping others develop the judgment to direct AI effectively

What We’re Looking For

• A track record of delivering complex, production-grade software outcomes.
• Genuine fluency directing AI agents: you decompose, delegate, and validate at a level that produces better output than most engineers produce writing manually
• Comfort working across the stack — mobile instrumentation, backend pipelines, CI/CD systems, and developer tooling — without needing to stay in one lane or waiting for someone else to own a layer. AI closes the skill gaps; you provide the judgment
• The ability to meaningfully impact the speed, quality, and intelligence of how software is delivered.