About The Team
The Circle Expansion team at Life360 is building the next frontier of meaningful connection — deepening Life360’s peace-of-mind platform beyond the core family circle: aging parents staying safely independent, pre-teens navigating the world with wearables, and extended families and loved ones living apart. Our mission is to unlock more value for these members and the families around them, with features that help people stay safe, connected, and sane amidst the chaos of everyday family life.
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 Engineer — a senior full-stack engineer who doesn’t just use AI tools, but thinks natively in them. You’ll be central to how the Circle Expansion team builds product, where AI has reshaped how the entire team designs, builds, and ships.
You’ll design and build features that serve some of our most important and fastest-growing member segments: aging parents who want to stay safely connected with their families, pre-teens with wearables taking their first steps toward independence, sports teams that need real-time coordination, and school communities simplifying carpool logistics.
You’ll build and 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 evolve the standard others follow.
Mobile experience is strongly preferred (iOS or Android), though exceptional full-stack or backend engineers are also encouraged to apply.
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 high-quality features for aging parents, pre-teen wearable users, and community groups — experiences that are safe, intuitive, and genuinely useful.
- Work with AI (Claude Code) as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews.
- Help define and codify AI-Native engineering practices for the Circle Expansion team, establishing playbooks the broader org can adopt.
- Build across the full stack as needed — shipping polished, performant, and reliable experiences to tens of millions of users.
- Collaborate closely with product managers and designers to turn complex user problems into elegant, scalable engineering solutions.
- Contribute to architectural decisions, code reviews, and a culture of craft and continuous improvement.
- Participate in on-call rotation and incident response.
- 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 features you own.
What We’re Looking For
- 7+ years of experience building high-quality, consumer-scale software products.
- At least 1 year of hands-on experience prompting, evaluating, and building with LLMs.
- Strong proficiency in mobile development (iOS or Android) — you know what great mobile UX feels like and how to build it. Web and backend experience (Java, Kubernetes, AWS) are valued alternatives.
- Deep experience with agentic workflows, prompt engineering, context window management, and MCP/function calling.
- A track record of using AI tooling to multiply your own output — not just as autocomplete, but as a genuine development partner.
- Strong communication and collaboration skills — you work well with product, design, and platform engineers.
- A genuine excitement for defining what it means to be AI-Native — you’re not waiting for the playbook, you want to write it.
- Empathy for the humans behind the product — an aging parent trying to stay independent, a parent tracking their pre-teen.