Life360

Software Engineer

• Take rough ideas (sketches, voice memos, half-finished docs) and turn them into something real and clickable, fast. The first version is usually the same day.
• Build prototypes for the surfaces that make the product tangible: the map, widgets, Live Activities, voice, in-app moments where information surfaces automatically. Some will ship. Most will get thrown away. Both outcomes are useful.
• Make tasteful UI calls without waiting for design to spec every pixel. Design refines. You get it 80% there.
• Sit in the room when product direction gets debated. Push back when something doesn't feel right. We need engineers who are part of the conversation, not waiting for the output.
• Use AI tooling aggressively. Orchestrate agents to generate code, write tests, and review your work. The whole point of this team is that a small group with the right tools outperforms a much larger one.
• Ship to test groups, watch how people actually use what you built, iterate. The feedback loop is short and you are inside it.

Staff AI Builder, AI Native Mobile Engineer

AI Engineer

• Architect the inference pipeline that turns Life360 into a context layer LLMs can reason over: soul files, family context, behavioral signals, document understanding.
• Choose models. Choose hosting. Decide what is self-hosted, API-based, fine-tuned, or prompt-engineered. Revisit those decisions as the landscape changes.
• Build the serving infrastructure. Latency budgets, batching, caching, fallbacks, graceful degradation. Make it run at scale before scale gets here.
• Build the eval loop. Know whether changes make the product better or worse, not just whether the demo works. This is the difference between a real product and a magic trick.
• Own the cost model. Track spend per user, per feature, per family. Find the levers (context compression, model routing, pre-computation) that keep unit economics working from a test group to millions.
• Define what gets persisted, what gets summarized, and what gets thrown away. The architecture decision of "what does our data look like to an LLM" lives with you.
• Set the bar for safety, privacy, and trust at the infrastructure layer. Sensitive categories filtered before they propagate. Encryption, access controls, audit trails built in, not bolted on.

Staff AI Architect, Family AI Lab

Product Manager

• You'll be a core contributor to the Orchestrator layer—the real-time, contextual decisioning system that assembles Life360's interface dynamically for each member and each session.
• This is the personalization layer that determines which components surface and in what order, drawing on signals from the real world, past behaviors, family context, member history, and content and intelligence from partner teams across the company who all need representation in a constrained surface area.
• You're joining a focused team with work already underway, and your job is to accelerate and shape where it goes.
• The technical challenge is real: building a modular, algorithmic content layer with a unified member data model, feedback loops, and measurable outcomes.
• The organizational challenge is equally real.
• Teams across Life360 will need to align around a shared model, contribute their intelligence and content to a common platform, and trust that the system serves the company's shared goals and the member in equal measure.
• Building that buy-in is core to this role.

Principal Product Manager – Builder

Android Engineer

• Help drive and define Android experiences across Maps, Realtime, Feed, Notifications, History, and coordination features.
• Work closely with technical leads across individual teams to align on patterns, architectural guardrails, and execution plans.
• Provide direction that helps teams sequence work effectively and build toward a cohesive, long-term experience.
• Unblock complex technical challenges, deliver prototypes, perform deep reviews, and raise the bar for engineering quality across the department.
• Write production code while focusing on high-leverage activities that accelerate teams and improve architectural consistency.
• Direct AI agents through the development loop, from problem framing through code, review, and ship. Own what comes out.
• Build with instrumentation and quality gates from the start, not after. Every feature needs a signal on whether it's actually working.
• Push AI-native practices across the Experiences team (agentic workflows, automated tracking, LLM-assisted validation). This is part of what a Staff engineer does here now.
• Collaborate closely with Design to deliver polished, intuitive, and emotionally expressive interactions.

Staff Android Engineer, AI Native

Data Engineer

• Architect and evolve scalable data ingestion and egress frameworks and pipelines that are well tested and offer strong data quality monitoring.
• Architect and evolve our CI/CD processes - enhancing the testing environment and observability (such as building LLM-driven reviews with context awareness through data diffing, lineage analysis / downstream impact analysis, and general context).
• Architect delivery architecture of data assets to external team partners to reduce manual operational overhead associated with month end close.
• Enhance our Claude Code / LLM development support capabilities - creating tools / skills / agents that give our LLMs more context and help us continually improve their abilities to debug, create code, and maintain systems.
• Enhance our security posture in our AWS / Databricks environment.
• Design and implement distributed data processing systems using Spark and Databricks on AWS.
• Establish clear ingestion and integration boundaries that eliminate single points of failure.
• Proactively surface risks, dependencies, and tradeoffs before they impact delivery.
• Produce clear technical artifacts and recommendations for stakeholders and leadership.
• Design logical and physical data models balancing flexibility, performance, governance, and scalability.
• Partner closely with the Analytics Engineers on the Finance Data Team to support high-quality downstream data modeling & reporting.
• Harden pipelines with monitoring, alerting, SLAs, and recovery mechanisms.
• Mentor engineers and elevate distributed systems rigor across the team.

Finance Staff Data Engineer, AI Native

• Own the PDLC as a product. Define and drive the strategy for redesigning Life360's development experience for an AI-native world — not optimizing the existing steps, but rethinking how requirements, design, build, test, deploy, and measure work when human-AI collaboration is the default. Partner directly with the CTO and CISO to make that vision real.
• Design how humans and AI work together. Define the collaboration patterns, handoffs, and guardrails that determine how AI should augment human decision making and boost speed and quality of output.
• Co-own the dev environment. Work shoulder-to-shoulder with engineering, design, product, data, and other leaders to shape a toolchain built around AI-augmented workflows from the ground up, not legacy tooling with AI bolted on.
• Lead the AI-Native shift. Drive employee adoption of AI-native practices across the company. Work with the people team on cultural change, not just a rollout plan.
• Rethink measurements. Traditional metrics miss the real value of AI augmentation. Develop frameworks that measure decision leverage, quality-adjusted velocity, and human cognitive load and use them to prove what's working and sunset what isn't.
• Make work human. Don’t just ease the transition. Actively design an AI-native culture where people feel more capable and empowered, not replaced.
• Stay on the frontier. Make smart bets on where the AI-native PDLC is heading 12-18 months out and position Life360 to be there first.

Principal Product Manager – Developer Innovation

• Get ahead of growth, not behind it. Identify where the platform will break before it does and build the fault tolerance and capacity buffers to make sure it doesn't.
• Set the standard. Define company-wide platform KPIs — SLOs, SLAs, error budgets — that give product and engineering teams the confidence to ship fast without second-guessing the foundation beneath them.
• Make incidents a non-event. Own the roadmap for incident management, disaster recovery, and business continuity so that platform disruptions never become a ceiling on product velocity.
• Make the invisible visible. Drive the observability and telemetry roadmap so every team has real-time instrumentation into system health and no one ships into the dark.
• Hunt systemic risk. Partner with engineering leadership to surface and mitigate the structural risks that constrain growth before they affect the millions of families who depend on us.
• Embed reliability into how we build. Establish performance and reliability as first-class product requirements, not afterthoughts.
• Translate platform complexity into decisions. Turn platform health data and infrastructure realities into sharp narratives: what's slowing us down, what we need for the next order of magnitude, and where to place the bets now.
• Build muscle, not just the plan. Establish rituals such as post-mortems, game days, capacity planning to make reliability a cultural practice, not a reactive one.

Principal Product Manager, Platform

Account Manager

• Partner with the VP of Product and BD leadership to define and evolve Life360’s ecosystem strategy — identifying the categories of partnership that can generate the most value for members and for the business
• Develop a structured hypothesis framework for evaluating partnership and integration opportunities, drawing on customer insights, competitive analysis, and strategic fit
• Design and run rapid experiments to test the value of specific partner verticals and JTBDs
• Work directly with external partners to define integration scopes, align on value propositions, and shape the product experiences that will go in front of Life360’s members
• Synthesize learnings from experiments and partner conversations into clear recommendations for what to build/platformize, what to deprecate, and where to explore next
• Build the internal business cases for future ecosystem investments, working with Finance, Legal, and Engineering to assess feasibility, cost, and expected return
• Serve as the connective tissue between BD, Product, and Engineering — ensuring partner integrations are technically sound, on-brand, and genuinely valuable to families
• Stay close to the competitive landscape and emerging trends in family tech, connected devices, and digital ecosystems to proactively surface new strategic opportunities

Product Director – Ecosystem & Partnerships

Community Manager

• Manage daily community engagement across Life360’s social channels (TikTok, Instagram, Facebook, Threads, Twitter, YouTube), including comments and DMs.
• Respond to inbound comments and DMs in a timely and thoughtful manner, including creator inquiries and product questions.
• Publish a high volume of outbound comments rooted in social listening and trend spotting, showing up in ways that feel true to Life360.
• Kickstart Life360’s Instagram Broadcast Channel presence.
• Maintain Life360’s brand voice and values in all community interactions.
• Identify and reach out to Life360 members who post content that's *so Life360-coded* it needs to live in our UGC library, be reposted on our social channels, or we need to rally a crew to film an entire commercial with that member’s powerful story.
• Maintain our internal UGC library in Airtable, keeping content appropriately tagged and searchable for cross-functional partners.
• Own Life360's social listening function by monitoring brand mentions, conversations, and sentiment analysis.
• Translate social listening data into clear, actionable insights shared in a monthly social listening report for the Social Team and wider Marketing Team.
• Track performance of inbound and outbound interactions.

Community Engagement Specialist

Hardware Engineer

• Design and Build Complex, Multi-Radio PCBs
• Contribute to high-density electrical design for next-generation GPS tracking devices with BLE, WiFi, cellular, and GNSS radios on a single board.
• Validate schematics, review component selections, and chase down detailed specifications and vendor technical questions.
• Perform DFMEA, PFMEA, stress analysis, and tolerance analysis to ensure design robustness.
• Support board bring-up, debug, and iterative refinement from early prototypes through production-ready designs.
• Prototype and Validate
• Build mockups and proofs-of-concept to support R&D exploration, technical feasibility assessments, and industrial design convergence.
• Drive parallel prototyping efforts to accelerate learning and de-risk design decisions.
• Support EVT, DVT, and PVT phases with clear design intent and fast iteration.
• Build Tools and Fixtures for the Team
• Design and build programming jigs, test fixtures, dev boards, and interface helper boards used across the hardware and firmware teams.
• Execute quick-turn board designs for tooling — practical, functional, and delivered fast.
• Collaborate Across Disciplines
• Work closely with firmware engineers on hardware-firmware interfaces, test points, and debug access.
• Partner with mechanical engineering and industrial design on form factor constraints, integration tradeoffs, and physical prototyping.
• Interface with operations and manufacturing partners on DFM, DFA, and production readiness.
• Engage directly with component suppliers and contract manufacturers to resolve technical questions and drive sourcing decisions.
• Communicate and Document
• Proactively share findings, status, and technical insights with the team through clear written documentation.
• Create thorough design documentation that others can build on and review.
• Produce high-quality presentation materials when needed to communicate design decisions and tradeoffs to both technical and non-technical audiences.

Senior II Hardware Engineer – EE

• Develop and optimize paid media programs that build awareness and consideration for Life360
• Work with the creative team to ensure optimal channel/message fit.
• Think beyond “spots and dots”. We are looking for a highly creative marketer who can bring unique and differentiated media choices to our mix.
• Build a great partnership and successfully lead our media agency collaboration. We view the agency as an embedded partner and they should feel like part of our team. You must emphasize both inspiration and accountability with them.
• Working in collaboration with our Brand & Creative team, identify influential personalities that we should be associating with and working with.
• Work with agency and platform partners, as you see fit, to procure and manage these deals.
• Work with Analytics to assess the overall and relative performance of our influencer partnership deals.
• Working in collaboration with several internal partner teams (Brand & Creative, Devices, etc.), identify brands that we should be associating and partnering with.
• The brand partnerships can run the gamut in terms of how they manifest. For example, we have previously done a licensing deal with Sanrio to bring Hello Kitty to our Tile bluetooth tracking devices. But there are many flavors of collaboration we are exploring and excited about and we welcome your ideas.
• Work with our Biz Dev team to outline key, desired “gives/gets” for these partnerships and land highly mutually beneficial deals that deliver on each party’s goals.
• Work with Analytics to assess the overall and relative performance of our brand partnership deals.

Senior Manager, Brand Media, Influencers, Partnerships

Full-stack Engineer

• Design and build high-quality API and services 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.