About The Team
The International team at Life360 is building the next frontier of meaningful connection — bringing Life360's peace-of-mind platform to families everywhere, regardless of where in the world they live. Our mission is to make the product feel native to every market we enter: localized experiences, regionally relevant features, and the kind of trust that only comes from truly understanding how families in different cultures stay safe, connected, and close. We're expanding Life360's reach beyond its home market so that every family — whether in São Paulo, Berlin, or beyond — has access to the tools that help them navigate the beautiful, chaotic reality of everyday life together.
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 Role
Life360 is hiring an AI-Native Engineer — a Staff engineer who doesn’t just use AI tools, but thinks natively in them. You’ll be central to how the International team builds products, where AI has reshaped how the entire team designs, builds, and ships.
- You’ll design and build services that serve some of our most important and fastest-growing member segments: our international members in markets like Brazil, UK, the Philippines and beyond.
- 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.
- Back-end experience is required. Our back-end stack includes Spring Boot microservices, Java, Kafka, Kafka Streams, and a modern cloud-native platform on AWS.
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 API and services for the international adaptation of Life360 — services that are life saving, and genuinely useful.
- Build with our global customers in mind by applying internationalization best practices from the start.
- 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 International 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.
- Hold a high bar for quality end-to-end: you define what "done" means, instrument your work for observability, and treat post-launch behavior as part of the job — not someone else's problem.
- 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
- 8+ years of experience building and operating high-quality, consumer-scale services.
- 1+ years of hands-on experience prompting, evaluating, and building with LLMs.
- Strong proficiency in cloud development using modern Java, Kubernetes, AWS and streaming technologies.
- 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.