Careers at Life360

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 102.4 million monthly active users (MAU), as of June 30, 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 Revenue Experimentation team (Direct Revenue org) is the engine behind how we grow and monetize Life360 responsibly. We design, ship, and analyze high-velocity experiments across ads, subscriptions, and one-time purchases — pricing, paywalls, ad placement and mediation, upsell and upgrade flows — so every monetization decision is grounded in evidence, not instinct. Our work directly shapes the revenue behind nearly 100 million members. We are a product-minded, AI-Native engineering team. AI isn't just a tool we use — it's how we work. We treat 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 — a builder who thinks natively in AI tooling and takes real ownership of outcomes, not just tickets. You'll be central to how the Revenue Experimentation team designs and ships growth and monetization experiments across the Life360 app, and to how we push AI-native development forward as a team. You'll take a hypothesis — sometimes a fully-specced brief, sometimes a rough idea from a Slack thread or a data science finding — and turn it into a running, safely-instrumented experiment. You default to shipping and iterating rather than waiting for a perfect spec or explicit permission. You'll run dozens of concurrent tests confidently, evolve our AI-native engineering workflows, and contribute playbooks the broader mobile org adopts. This role is Android-first, but candidates who treat platform boundaries as fluid — willing to build across iOS, web, or backend when an experiment calls for it — are exactly who we're looking for. In your first year, success looks like owning end-to-end delivery across multiple concurrent experiment surfaces, having shipped at least one experiment or workflow improvement without needing a fully scoped spec to get started, and having at least one AI-native workflow you introduced 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, job-related knowledge, skills, and experience in determining final salary. Base pay may also vary based on geographic location, with US work locations falling into one of three geographic tiers. Total compensation is inclusive of equity compensation in the form of Restricted Stock Units (RSUs) , as well as a comprehensive benefits package, including medical, dental, vision, financial, and other benefits. What You’ll Do Design and build high-quality Android growth and monetization features and experiments — subscription paywalls and pricing tests, ad placement and mediation experiments, one-time purchase (IAP) flows, and upsell/upgrade surfaces — 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 — pushing back when a hypothesis or plan doesn't hold up. Work with AI (Claude Code or equivalent) as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate 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, reliable Android experiences to tens of millions of users, with strong attention to startup time, memory, battery, ANR, and crash-free rates. Take ambiguous or partially-specced ideas and get a working version in front of real users fast — treating the first cut as a learning tool, not a final answer. 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. Mentor other engineers and contribute to team processes, technical standards, and the evolution of the team's AI-native engineering practices. 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. 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: Agency — You don't wait to be told what to do. Given a rough hypothesis or a half-finished doc, you can get a working version in front of users without needing a fully-specced ticket first, and you take responsibility for the outcome, not just the task. Ownership mentality — You own your work from design through production and beyond, including what happens when the experiment doesn't go as planned. Taste and craft — You have opinions about what a good experiment, a good rollout, and a good user experience look like, and you can articulate why — not just execute a spec. Growth mindset — You structure problems precisely, learn quickly, show interest outside "your lane," and are always happy to try something new. 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. Collaborative approach — You communicate clearly, work well across teams, and value diverse perspectives; you give and take feedback well. 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, pricing, or onboarding surfaces at consumer scale. Deep in at least one of Kotlin/Android, Swift, or React, and comfortable shipping in another. Contributions to mobile open source or internal developer tooling. AI-Native Expectations We use AI coding tools as a professional standard on this team. 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, taking on problems that would otherwise require a larger team. Team leadership — You share what works, automate prompting strategies others can build on, and help teammates earlier in their AI workflow adoption get up to speed. Continuous learning — The tooling changes fast. You stay current and bring recommendations to the team when something would meaningfully improve how we work. Our Benefits Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer life and disability as well as supplemental plans for medical and dental for Canadian employees. 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees. Paid parental leave. Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being. Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns. Learning & Development programs. Equipment, tools, and reimbursement support for a productive remote environment. Free Life360 Platinum Membership and Tile trackers. Life360 Values Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference Be a Good Person - We have a team of high integrity people you can trust. Be Direct With Respect - We communicate directly, even when it’s hard. Members Before Metrics - We focus on building an exceptional experience for families. High Intensity, High Impact - We do whatever it takes to get the job done. Our Commitment to Diversity We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying! #LI-Remote

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 102.4 million monthly active users (MAU), as of June 30, 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 Revenue Experimentation team (Direct Revenue org) is the engine behind how we grow and monetize Life360 responsibly. We design, ship, and analyze high-velocity experiments across ads, subscriptions, and one-time purchases — pricing, paywalls, ad placement and mediation, upsell and upgrade flows — so every monetization decision is grounded in evidence, not instinct. Our work directly shapes the revenue behind nearly 100 million members. We are a product-minded, AI-Native engineering team. AI isn't just a tool we use — it's how we work. We treat 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 — a builder who thinks natively in AI tooling and takes real ownership of outcomes, not just tickets. You'll be central to how the Revenue Experimentation team designs and ships growth and monetization experiments across the Life360 app, and to how we push AI-native development forward as a team. You'll take a hypothesis — sometimes a fully-specced brief, sometimes a rough idea from a Slack thread or a data science finding — and turn it into a running, safely-instrumented experiment. You default to shipping and iterating rather than waiting for a perfect spec or explicit permission. You'll run dozens of concurrent tests confidently, evolve our AI-native engineering workflows, and contribute playbooks the broader mobile org adopts. This role is Android-first, but candidates who treat platform boundaries as fluid — willing to build across iOS, web, or backend when an experiment calls for it — are exactly who we're looking for. In your first year, success looks like owning end-to-end delivery across multiple concurrent experiment surfaces, having shipped at least one experiment or workflow improvement without needing a fully scoped spec to get started, and having at least one AI-native workflow you introduced 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, job-related knowledge, skills, and experience in determining final salary. Base pay may also vary based on geographic location, with US work locations falling into one of three geographic tiers. Total compensation is inclusive of equity compensation in the form of Restricted Stock Units (RSUs) , as well as a comprehensive benefits package, including medical, dental, vision, financial, and other benefits. What You’ll Do Design and build high-quality Android growth and monetization features and experiments — subscription paywalls and pricing tests, ad placement and mediation experiments, one-time purchase (IAP) flows, and upsell/upgrade surfaces — 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 — pushing back when a hypothesis or plan doesn't hold up. Work with AI (Claude Code or equivalent) as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate 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, reliable Android experiences to tens of millions of users, with strong attention to startup time, memory, battery, ANR, and crash-free rates. Take ambiguous or partially-specced ideas and get a working version in front of real users fast — treating the first cut as a learning tool, not a final answer. 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. Mentor other engineers and contribute to team processes, technical standards, and the evolution of the team's AI-native engineering practices. 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. 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: Agency — You don't wait to be told what to do. Given a rough hypothesis or a half-finished doc, you can get a working version in front of users without needing a fully-specced ticket first, and you take responsibility for the outcome, not just the task. Ownership mentality — You own your work from design through production and beyond, including what happens when the experiment doesn't go as planned. Taste and craft — You have opinions about what a good experiment, a good rollout, and a good user experience look like, and you can articulate why — not just execute a spec. Growth mindset — You structure problems precisely, learn quickly, show interest outside "your lane," and are always happy to try something new. 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. Collaborative approach — You communicate clearly, work well across teams, and value diverse perspectives; you give and take feedback well. 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, pricing, or onboarding surfaces at consumer scale. Deep in at least one of Kotlin/Android, Swift, or React, and comfortable shipping in another. Contributions to mobile open source or internal developer tooling. AI-Native Expectations We use AI coding tools as a professional standard on this team. 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, taking on problems that would otherwise require a larger team. Team leadership — You share what works, automate prompting strategies others can build on, and help teammates earlier in their AI workflow adoption get up to speed. Continuous learning — The tooling changes fast. You stay current and bring recommendations to the team when something would meaningfully improve how we work. Our Benefits Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer life and disability as well as supplemental plans for medical and dental for Canadian employees. 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees. Paid parental leave. Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being. Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns. Learning & Development programs. Equipment, tools, and reimbursement support for a productive remote environment. Free Life360 Platinum Membership and Tile trackers. Life360 Values Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference Be a Good Person - We have a team of high integrity people you can trust. Be Direct With Respect - We communicate directly, even when it’s hard. Members Before Metrics - We focus on building an exceptional experience for families. High Intensity, High Impact - We do whatever it takes to get the job done. Our Commitment to Diversity We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying! #LI-Remote

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 102.4 million monthly active users (MAU), as of June 30, 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 This role sits on the Verticals team within Life360 — the group building the next frontier of meaningful connection beyond the core family circle. This role's initial focus is Aging in Place: helping aging parents stay safely independent while giving the families around them real peace of mind. Over time, this role may flex to support other emerging verticals — Things (Tile, connected trackers) or Pets — as priorities shift, so we're looking for someone who wants to help define the pattern for new member segments, not just ship one feature set. 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 — a senior engineer who doesn't just use AI tools, but thinks natively in them. You'll be central to how the Verticals team builds products, where AI has reshaped how the entire team designs, builds, and ships. You'll design and build features that serve one of our most important and fastest-growing member segments: aging parents who want to stay safely connected with, and independent from, the families who care about them. As priorities change, you may also apply these same patterns to Things (connected trackers) or Pets. 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 publish AI-native engineering playbooks the broader Verticals org adopts. You will take full ownership of what you build from the first line of code through production, on-call, and the member impact it has. You are someone who obsesses over the humans on the other end of the product, not just the ticket. Full-stack experience is strongly preferred for this role — you should be comfortable moving between backend services and the mobile surfaces that expose them. Our stack spans Spring Boot microservices, Java, Kafka, and Kafka Streams on the backend, a modern cloud-native platform on AWS, and native iOS (Swift) and Android (Kotlin) apps on the client side. In your first year, success looks like having shipped end-to-end features serving the Aging in Place member segment and establishing at least one AI-native workflow the broader team adopts. 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, job-related knowledge, skills, and experience in determining final salary. Base pay may also vary based on geographic location, with US work locations falling into one of three geographic tiers. Total compensation is inclusive of equity compensation in the form of Restricted Stock Units (RSUs) , as well as a comprehensive benefits package, including medical, dental, vision, financial, and other benefits. What You’ll Do Ship end-to-end across the stack — from backend services and APIs through to the iOS and Android surfaces members actually use — moving fluidly between layers as the feature demands. Work with AI (Claude Code) as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate results, and perform reviews. Help define and codify AI-Native engineering practices for the Verticals team, establishing playbooks the broader org can adopt. Build across the full stack (backend & Native mobile)— 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. Adapt patterns and services built for Aging in Place to future verticals (Things, Pets) as team scope expands. What We’re Looking For 5+ years of experience building and operating high-quality, consumer-scale services. 1+ years of hands-on experience prompting, evaluating, and building with LLMs. Full-stack proficiency spanning backend services and mobile client development (iOS and/or Android), with the versatility to work across the whole stack as needed. 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. A strong sense of ownership — you don't wait to be told what to fix, and you follow through past "it works on my machine" to "it works for the member, in production, at scale." 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, or a family member trying to help from afar. Bachelor's Degree in a Technical field, or equivalent experience. 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. Our Benefits Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer life and disability as well as supplemental plans for medical and dental for Canadian employees. 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees. Paid parental leave. Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being. Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns. Learning & Development programs. Equipment, tools, and reimbursement support for a productive remote environment. Free Life360 Platinum Membership and Tile trackers. Life360 Values Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference Be a Good Person - We have a team of high integrity people you can trust. Be Direct With Respect - We communicate directly, even when it’s hard. Members Before Metrics - We focus on building an exceptional experience for families. High Intensity, High Impact - We do whatever it takes to get the job done. Our Commitment to Diversity We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying! #LI-Remote ____________________________________________________________________________

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 102.4 million monthly active users (MAU), as of June 30, 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 This role sits on the Verticals team within Life360 — the group building the next frontier of meaningful connection beyond the core family circle. This role's initial focus is Aging in Place: helping aging parents stay safely independent while giving the families around them real peace of mind. Over time, this role may flex to support other emerging verticals — Things (Tile, connected trackers) or Pets — as priorities shift, so we're looking for someone who wants to help define the pattern for new member segments, not just ship one feature set. 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 — a senior engineer who doesn't just use AI tools, but thinks natively in them. You'll be central to how the Verticals team builds products, where AI has reshaped how the entire team designs, builds, and ships. You'll design and build features that serve one of our most important and fastest-growing member segments: aging parents who want to stay safely connected with, and independent from, the families who care about them. As priorities change, you may also apply these same patterns to Things (connected trackers) or Pets. 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 publish AI-native engineering playbooks the broader Verticals org adopts. You will take full ownership of what you build from the first line of code through production, on-call, and the member impact it has. You are someone who obsesses over the humans on the other end of the product, not just the ticket. Full-stack experience is strongly preferred for this role — you should be comfortable moving between backend services and the mobile surfaces that expose them. Our stack spans Spring Boot microservices, Java, Kafka, and Kafka Streams on the backend, a modern cloud-native platform on AWS, and native iOS (Swift) and Android (Kotlin) apps on the client side. In your first year, success looks like having shipped end-to-end features serving the Aging in Place member segment and establishing at least one AI-native workflow the broader team adopts. 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, job-related knowledge, skills, and experience in determining final salary. Base pay may also vary based on geographic location, with US work locations falling into one of three geographic tiers. Total compensation is inclusive of equity compensation in the form of Restricted Stock Units (RSUs) , as well as a comprehensive benefits package, including medical, dental, vision, financial, and other benefits. What You’ll Do Ship end-to-end across the stack — from backend services and APIs through to the iOS and Android surfaces members actually use — moving fluidly between layers as the feature demands. Work with AI (Claude Code) as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate results, and perform reviews. Help define and codify AI-Native engineering practices for the Verticals team, establishing playbooks the broader org can adopt. Build across the full stack (backend & Native mobile)— 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. Adapt patterns and services built for Aging in Place to future verticals (Things, Pets) as team scope expands. What We’re Looking For 5+ years of experience building and operating high-quality, consumer-scale services. 1+ years of hands-on experience prompting, evaluating, and building with LLMs. Full-stack proficiency spanning backend services and mobile client development (iOS and/or Android), with the versatility to work across the whole stack as needed. 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. A strong sense of ownership — you don't wait to be told what to fix, and you follow through past "it works on my machine" to "it works for the member, in production, at scale." 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, or a family member trying to help from afar. Bachelor's Degree in a Technical field, or equivalent experience. 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. Our Benefits Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer life and disability as well as supplemental plans for medical and dental for Canadian employees. 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees. Paid parental leave. Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being. Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns. Learning & Development programs. Equipment, tools, and reimbursement support for a productive remote environment. Free Life360 Platinum Membership and Tile trackers. Life360 Values Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference Be a Good Person - We have a team of high integrity people you can trust. Be Direct With Respect - We communicate directly, even when it’s hard. Members Before Metrics - We focus on building an exceptional experience for families. High Intensity, High Impact - We do whatever it takes to get the job done. Our Commitment to Diversity We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying! #LI-Remote ____________________________________________________________________________

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 102.4 million monthly active users (MAU), as of June 30, 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 Vertical Experiences team builds the experiences that bring pets into the family — pet profiles, activity timelines, care coordination, lost pet alerts, and third-party integrations. We sit within Life360's Devices org, but our work is squarely in the consumer product layer: building experiences that help families care for, track, and stay connected to their pets. We ship frequently, own our features end to end, and work closely with mobile, design, and product to define what pet ownership looks like inside Life360. We are an AI-Native team. AI isn't an add-on to how we work — it's how we work. We've redesigned our development workflows around AI, using it as a first-class collaborator at every stage: spec writing, code generation, test authoring, incident triage, and system design. We ship faster and go deeper because of it. We're looking for engineers who want to help define what AI-native development looks like for a high-traffic consumer product. About the Job As a Backend Engineer on the Vertical Experiences (Devices Cloud) team, you’ll build and operate the cloud services that power Life360’s connected devices. This role sits at the intersection of hardware, firmware, and mobile, translating real-world device signals into reliable, scalable backend systems. You’ll work on high-throughput, low-latency services that manage device state, ingest telemetry, and enable new device-driven features for millions of members worldwide. The work is hands-on, systems-oriented, and designed for engineers who enjoy solving messy, real-world problems at scale. You don't just use AI tools. You think natively in them. Your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. You'll help establish and evolve AI-native engineering practices for the Vertical Experiences team while delivering features that ship to production weekly. For candidates based in the US, the salary range for this position is $148,000 to $216,000 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, job-related knowledge, skills, and experience in determining final salary. Base pay may also vary based on geographic location, with US work locations falling into one of three geographic tiers. Total compensation is inclusive of equity compensation in the form of Restricted Stock Units (RSUs) , as well as a comprehensive benefits package, including medical, dental, vision, financial, and other benefits. What You'll Do Design, build, and maintain backend services that support device connectivity, telemetry ingest, health monitoring, and command/control operations. Collaborate with firmware, mobile, and product teams to define APIs and workflows for device features. Deliver scalable, resilient systems in a microservices environment running on AWS (EKS, Lambda, DynamoDB, SQS, etc.). Build and own data pipelines for high-throughput streams using Kafka or similar streaming tech. Instrument services for observability, reliability, and SLO compliance. Participate in on-call rotations and live incident response. Write clean, testable, performant code and help improve CI/CD and automation. Orchestrate AI coding agents daily for spec writing, code generation, test authoring, incident triage, PR review, and system design What We’re Looking For Bachelor’s in Computer Science or equivalent experience. 5+ years experience building backend services in Java, Go, Python, or similar languages. Experience with microservices architecture, RESTful API design, and distributed systems. Strong skills with cloud infrastructure (AWS preferred), container orchestration, and deployments. Experience with databases (relational and/or NoSQL), caching layers, and event/streaming systems. Comfortable collaborating across teams and articulating technical tradeoffs. Hands-on agentic AI workflow experience. Nice-to-Have Experience with IoT or telematics systems. Familiarity with Kafka, Kinesis, or other streaming platforms. Experience with high-frequency ingest systems and time-series data. A background with observability tooling (Prometheus, Grafana, OpenTelemetry). Knowledge of SRE practices and automated testing frameworks. 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. Continuous learning: The tooling is changing fast. You stay current and bring recommendations to the team. Our Benefits Competitive pay and benefits. Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees. Paid parental leave. 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees. Mental Wellness Program & EAP. Flexible PTO and 12 company-wide days off throughout the year. Learning & Development programs. Equipment, tools, and reimbursement support for a productive remote environment. Free Life360 Platinum Membership for your preferred circle. Free Tile Products. Life360 Values Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference. Be a Good Person — We have a team of high integrity people you can trust. Be Direct With Respect — We communicate directly, even when it’s hard. Members Before Metrics — We focus on building an exceptional experience for families. High Intensity, High Impact — We do whatever it takes to get the job done. Our Commitment to Diversity We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying! #LI-Remote

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 102.4 million monthly active users (MAU), as of June 30, 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 Connected Devices team at Life360 owns end-to-end device software readiness across our portfolio — firmware, app, and cloud engineering working as one team to ship the trackers and wearables that keep families connected to the people, pets, and things they care about most. We're not just a firmware team: we own the full device software stack, from the hardware modules to the cloud, across the whole lifecycle — architecture and hardware bring-up through mass production and post-launch refinement. We're moving toward a more intelligent hardware ecosystem, building Life360's first on-device intelligence — processing complex sensor data on the device itself, in real time, within tight power and memory budgets. We're an AI-Native engineering team: AI isn't just a tool we use, it's how we work — across specifications, code, test, review, data analysis and triage. Today that means firmware running across our Tile and Pet GPS tracker lines — devices shipping in the hundreds of thousands of units, each streaming continuous multi-sensor telemetry — which is the scale this on-device ML platform should be built to handle. This role reports to the Engineering Manager, Connected Devices, and works day-to-day alongside our firmware, app, and cloud engineers, data science, hardware, operations, and data teams. About the Job We're looking for a Staff Firmware Engineer to build and own Life360's on-device ML platform — the reusable framework that lets any device in our portfolio sample sensor data, run inference on the edge, and act on it without draining the battery or blowing the memory budget. This is a hybrid role by design, and both halves are non-negotiable. You are a firmware engineer first — deeply fluent in embedded systems and on-device software, from RTOS internals and driver bring-up to power management and debugging on real hardware. You are an Edge ML specialist second — you know how to get a model running, quantized and optimized, on a Cortex-M-class part with kilobytes to spare, whether it comes from Data Science or you build and train it yourself with modern, AI-assisted tooling. The value of this role is that you own the whole path, from the sensor register to the inference result, without handing off the hard parts. "Staff" here means you set the technical direction for on-device ML and you ship it — you architect the platform and write the code that proves it works. ML demand will ebb and flow; when it's light, you pick up regular firmware work alongside the team. This is a full firmware seat, not an ML-only one — the ML specialization is what you bring on top of being a strong, contributing firmware engineer. This is a foundational role. We're shipping our first on-device ML feature now, but there's no reusable platform behind it yet — you'll turn that first feature into the foundation the rest of the portfolio builds on, with a lot of room to grow from there. In year one, success looks like owning on-device ML end to end as your domain — you architect the inference platform, ship it to the fleet, and root-cause its production issues from device logs yourself. You're also a credible firmware engineer across the stack — connectivity, OTA, power, drivers, telemetry — not needing anyone else to own the embedded side. And you've turned that platform into member-facing value: 2–3 on-device ML features shipped to the Pet GPS fleet, learning from real device behavior. For candidates based in the US, the salary range for this position is $143,000 to $261,500 USD. For candidates based out of Canada, the salary range for this position is $207,000 to $242,500 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, job-related knowledge, skills, and experience in determining final salary. Base pay may also vary based on geographic location, with US work locations falling into one of three geographic tiers. Total compensation is inclusive of equity compensation in the form of Restricted Stock Units (RSUs) , as well as a comprehensive benefits package, including medical, dental, vision, financial, and other benefits. What You’ll Do Build and Own the On-Device ML Platform Design and build the reusable on-device inference framework any Life360 device can adopt — the runtime, the model integration path, and the sampling and preprocessing pipeline — and make the platform-level calls (runtime and model format, memory/flash budgeting, OTA model updates). Own it end to end: you architect it, implement it, and debug it when it misbehaves on a device in the field. Do the Core Firmware Engineering Integrate inference into resource-constrained RTOS firmware (Zephyr / FreeRTOS) without compromising stability, scheduling, or power, and own the low-level plumbing — drivers, DMA data paths, SPI/I²C, and the middleware that feeds the pipeline. Debug on real hardware (oscilloscope, logic analyzer, JTAG) and drive cross-layer issues to root cause across the firmware/hardware boundary. Carry regular firmware work when ML demand is light — a full share of features, bug fixes, field issues, and on-call/triage. Develop and Ship Models on Device Get models running within firmware constraints — from Data Science or built and trained yourself, increasingly with AI-assisted tooling — handling quantization, operator support, and the latency/memory tradeoffs. Own the whole loop, from training output to validated on-device behavior. You don't take a model over the wall and hope. Optimize for Extreme Constraints Squeeze inference into tight power, memory, and latency envelopes, and own the tradeoffs between model accuracy, power draw, and footprint — validated in the real world, not just on the bench. Set Direction, Work AI-Natively, and Level Up the Team Drive alignment across firmware, app/cloud, data science, hardware, and ops on how on-device intelligence gets built here, and raise the team's embedded-ML fluency through code review, design docs, and pairing. Use AI tooling as a genuine development partner across firmware and ML, and help define what AI-native looks like for embedded work. What We’re Looking For Foundation 10+ years of firmware engineering, taking complex consumer hardware from prototype through mass production, with a demonstrated track record of shipping at scale. Bachelor's degree in Electrical Engineering, Computer Science, or a related field. Firmware Engineering — the core bar Deep C/C++ for embedded systems and real fluency in RTOS internals (Zephyr, FreeRTOS, or equivalent). Strong low-level hardware skills — SPI/I²C/UART, DMA, interrupts, driver development from the datasheet up — plus hands-on debugging (scope, logic analyzer, JTAG) and power/memory discipline. Edge ML Demonstrated experience deploying ML models on microcontroller-class hardware in a shipping product — not a course project or one-off PoC. Hands-on with embedded inference frameworks (TFLite Micro, CMSIS-NN, ExecuTorch, or equivalent) and model optimization (quantization, pruning); able to develop and train models yourself, not only deploy someone else's. Solid grounding in the sensor data and signal-processing pipelines that feed a model (IMU and similar). AI-Native and Communication You use AI coding tools (Claude Code or equivalent) as a genuine development partner and review their output as critically as any PR. Strong written communication and a habit of documenting decisions and working across firmware, hardware, and data science. Nice to Have Security and compliance for connected devices — secure boot, key provisioning, signed and rollback-safe OTA, and RF/regulatory certification (FCC/CE). Hands-on experience with cellular, BLE, GPS/GNSS, or audio subsystems on battery-powered wearables or trackers. New-board bring-up — powering up unproven hardware, verifying power rails and peripherals, and getting first firmware running on a fresh board. Hardware schematic evaluation — reading and reviewing schematics, partnering with EE on design reviews, and catching issues before a board spin. Factory and manufacturing support — manufacturing test development, production-line bring-up and debug, and supporting yield and quality at the contract manufacturer. AI-Native Expectations Daily use — you use AI tools (Claude Code, Cursor, or equivalent) every day for real firmware and ML work: drafting and refactoring code, debugging on-device failures, writing specs and design docs, and building or validating models. This isn’t autocomplete; it’s a standing part of how you work. Judgment and ownership — you review every line of AI-generated code and every AI-assisted model output as critically as you would a human PR before it ships to a device in the field. The AI writes it; you’re accountable for it. Velocity — you’re expected to use AI to compress timelines that used to take weeks, from specifications to working prototype to validated on-device behavior, and to be able to explain your approach when you don’t. Team leadership — you share what you learn (patterns that work, guardrails you’ve added, failure modes you’ve hit) through code review, design docs, and pairing, and you help raise the team’s AI fluency, not just your own. Continuous learning — you stay current on embedded-AI tooling and techniques and bring recommendations back to the team rather than waiting for them to arrive. Our Benefits Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer life and disability as well as supplemental plans for medical and dental for Canadian employees. 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees. Paid parental leave Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns Learning & Development programs Equipment, tools, and reimbursement support for a productive remote environment. Free Life360 Platinum Membership Tile trackers Life360 Values Our company's mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference Be a Good Person - We have a team of high integrity people you can trust. Be Direct With Respect - We communicate directly, even when it's hard. Members Before Metrics - We focus on building an exceptional experience for families. High Intensity, High Impact - We do whatever it takes to get the job done. Our Commitment to Diversity We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don't meet 100% of the below qualifications, you should still seriously consider applying! #LI-Remote

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 102.4 million monthly active users (MAU), as of June 30, 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 Data & Analytics team is building Life360's next-generation data platform — powering real-time decision-making, experimentation, ML, and large-scale analytics. We operate at significant scale and complexity in a high-ambiguity environment, and we expect engineers to own problems, drive clarity, and raise the bar across the org. We're looking for a high-intensity engineer who wants to envision, design, and build high-impact data products with cutting-edge tools — all while keeping our members ahead of the metrics. You'll become the go-to person for data products across the business, joining a collaborative team that communicates openly, celebrates wins together, and is committed to helping everyone do their best work. About the Job At Life360, we collect a lot of data: tens of billions of unique location points, tens of billions of user actions, billions of miles driven every single month, and so much more. As a Senior Data Engineer II, you will enhance and maintain our data processing and storage pipelines for a robust and secure data lakehouse. We're looking for a strong engineering background — and just as important, a genuine desire to take ownership and make our data systems world class. The US-based salary range for this position is $148,000 to $216,500. For candidates based out of Canada, the salary range for this position is $171,500 to $201,000 CAD. We take into consideration an individual's background, job-related knowledge, skills, and experience in determining final salary. Base pay may also vary based on geographic location, with US work locations falling into one of three geographic tiers. Total compensation is inclusive of equity compensation in the form of Restricted Stock Units (RSUs) , as well as a comprehensive benefits package, including medical, dental, vision, financial, and other benefits. What You’ll Do Primary responsibilities include, but are not limited to: Design, build, and maintain scalable, distributed data pipelines and systems — from ingestion through ELT to storage — supporting streaming and batch processing for real-time analytics, ML, and experimentation. Automate, test, and harden data workflows to ensure reliability at scale. Architect logical and physical data models that meet evolving business needs. Build and maintain features for ML models. Collaborate with product, analytics, and data science teams to turn data into value. What We’re Looking For 5+ years of experience working with high volume data infrastructure. Deep expertise with a modern cloud data warehouse or lakehouse platform (Databricks preferred; Snowflake, BigQuery, or similar also considered) on a major cloud provider (AWS, GCP, or Azure). Proficient in Python and SQL, with the ability to write and optimize complex queries. Must have hands-on experience with dbt, ownership of dbt models. Experience with large-scale data processing using Spark and/or Presto/Trino. Strong grasp of data modeling, partitioning strategies, storage formats, and analytical workload optimization. Hands-on experience leveraging LLMs for code generation, analysis, and related work — including reviewing AI-generated output with a close eye on quality, standards, and testing, and owning it as your own. Experience with modern data engineering tooling — orchestration (Airflow, Databricks Workflows), CI/CD (GitHub Actions), and infrastructure-as-code (Terraform, DABs). BS in Computer Science, Information Systems, Management Information Systems, Statistics, Mathematics, Data Science, Engineering (Computer, Electrical, or Software), or a related quantitative field. AI-Native Expectations The team leverages LLMs to support code generation, analysis, and other use cases. Your experience with AI / LLM usage should include managing code generation with a close eye on quality, standards, and testing — owning the outputs as your own. Your work with and ability to leverage these tools will drive your velocity and ability to effectively work within our environment. Nice to Have Experience working with an experimentation framework. Experience designing and maintaining real-time streaming architectures. Our Benefits Medical, dental, vision, life and disability insurance plans (100% paid for employees) Paid parental leave 401(k) plan with company matching program Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns Learning & Development programs Equipment, tools, and reimbursement support for a productive remote environment Free Life360 Platinum Membership Tile trackers Life360 Values Our company’s mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference Be a Good Person - We have a team of high integrity people you can trust. Be Direct With Respect - We communicate directly, even when it’s hard. Members Before Metrics - We focus on building an exceptional experience for families. High Intensity, High Impact - We do whatever it takes to get the job done. Our Commitment to Diversity We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying! #LI-Remote

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 102.4 million monthly active users (MAU), as of June 30, 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 Data & Analytics team is building Life360's next-generation data platform — powering real-time decision-making, experimentation, ML, and large-scale analytics. We operate at significant scale and complexity in a high-ambiguity environment, and we expect engineers to own problems, drive clarity, and raise the bar across the org. We're looking for a high-intensity engineer who wants to envision, design, and build high-impact data products with cutting-edge tools — all while keeping our members ahead of the metrics. You'll become the go-to person for data products across the business, joining a collaborative team that communicates openly, celebrates wins together, and is committed to helping everyone do their best work. About the Job At Life360, we collect a lot of data: tens of billions of unique location points, tens of billions of user actions, billions of miles driven every single month, and so much more. As a Senior Data Engineer II, you will enhance and maintain our data processing and storage pipelines for a robust and secure data lakehouse. We're looking for a strong engineering background — and just as important, a genuine desire to take ownership and make our data systems world class. The US-based salary range for this position is $148,000 to $216,500. For candidates based out of Canada, the salary range for this position is $171,500 to $201,000 CAD. We take into consideration an individual's background, job-related knowledge, skills, and experience in determining final salary. Base pay may also vary based on geographic location, with US work locations falling into one of three geographic tiers. Total compensation is inclusive of equity compensation in the form of Restricted Stock Units (RSUs) , as well as a comprehensive benefits package, including medical, dental, vision, financial, and other benefits. What You’ll Do Primary responsibilities include, but are not limited to: Design, build, and maintain scalable, distributed data pipelines and systems — from ingestion through ELT to storage — supporting streaming and batch processing for real-time analytics, ML, and experimentation. Automate, test, and harden data workflows to ensure reliability at scale. Architect logical and physical data models that meet evolving business needs. Build and maintain features for ML models. Collaborate with product, analytics, and data science teams to turn data into value. What We’re Looking For 5+ years of experience working with high volume data infrastructure. Deep expertise with a modern cloud data warehouse or lakehouse platform (Databricks preferred; Snowflake, BigQuery, or similar also considered) on a major cloud provider (AWS, GCP, or Azure). Proficient in Python and SQL, with the ability to write and optimize complex queries. Must have hands-on experience with dbt, ownership of dbt models. Experience with large-scale data processing using Spark and/or Presto/Trino. Strong grasp of data modeling, partitioning strategies, storage formats, and analytical workload optimization. Hands-on experience leveraging LLMs for code generation, analysis, and related work — including reviewing AI-generated output with a close eye on quality, standards, and testing, and owning it as your own. Experience with modern data engineering tooling — orchestration (Airflow, Databricks Workflows), CI/CD (GitHub Actions), and infrastructure-as-code (Terraform, DABs). BS in Computer Science, Information Systems, Management Information Systems, Statistics, Mathematics, Data Science, Engineering (Computer, Electrical, or Software), or a related quantitative field. AI-Native Expectations The team leverages LLMs to support code generation, analysis, and other use cases. Your experience with AI / LLM usage should include managing code generation with a close eye on quality, standards, and testing — owning the outputs as your own. Your work with and ability to leverage these tools will drive your velocity and ability to effectively work within our environment. Nice to Have Experience working with an experimentation framework. Experience designing and maintaining real-time streaming architectures. Our Benefits Medical, dental, vision, life and disability insurance plans (100% paid for employees) Paid parental leave 401(k) plan with company matching program Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns Learning & Development programs Equipment, tools, and reimbursement support for a productive remote environment Free Life360 Platinum Membership Tile trackers Life360 Values Our company’s mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference Be a Good Person - We have a team of high integrity people you can trust. Be Direct With Respect - We communicate directly, even when it’s hard. Members Before Metrics - We focus on building an exceptional experience for families. High Intensity, High Impact - We do whatever it takes to get the job done. Our Commitment to Diversity We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying! #LI-Remote

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 102.4 million monthly active users (MAU), as of June 30, 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 Connected Devices team at Life360 owns end-to-end device software readiness across our portfolio — firmware, app, and cloud engineering working as one team to ship the trackers and wearables that keep families connected to the people, pets, and things they care about most. We're not just a firmware team: we own the full device software stack, from the hardware modules to the cloud, across the whole lifecycle — architecture and hardware bring-up through mass production and post-launch refinement. We're moving toward a more intelligent hardware ecosystem, building Life360's first on-device intelligence — processing complex sensor data on the device itself, in real time, within tight power and memory budgets. We're an AI-Native engineering team: AI isn't just a tool we use, it's how we work — across specifications, code, test, review, data analysis and triage. Today that means firmware running across our Tile and Pet GPS tracker lines — devices shipping in the hundreds of thousands of units, each streaming continuous multi-sensor telemetry — which is the scale this on-device ML platform should be built to handle. This role reports to the Engineering Manager, Connected Devices, and works day-to-day alongside our firmware, app, and cloud engineers, data science, hardware, operations, and data teams. About the Job We're looking for a Staff Firmware Engineer to build and own Life360's on-device ML platform — the reusable framework that lets any device in our portfolio sample sensor data, run inference on the edge, and act on it without draining the battery or blowing the memory budget. This is a hybrid role by design, and both halves are non-negotiable. You are a firmware engineer first — deeply fluent in embedded systems and on-device software, from RTOS internals and driver bring-up to power management and debugging on real hardware. You are an Edge ML specialist second — you know how to get a model running, quantized and optimized, on a Cortex-M-class part with kilobytes to spare, whether it comes from Data Science or you build and train it yourself with modern, AI-assisted tooling. The value of this role is that you own the whole path, from the sensor register to the inference result, without handing off the hard parts. "Staff" here means you set the technical direction for on-device ML and you ship it — you architect the platform and write the code that proves it works. ML demand will ebb and flow; when it's light, you pick up regular firmware work alongside the team. This is a full firmware seat, not an ML-only one — the ML specialization is what you bring on top of being a strong, contributing firmware engineer. This is a foundational role. We're shipping our first on-device ML feature now, but there's no reusable platform behind it yet — you'll turn that first feature into the foundation the rest of the portfolio builds on, with a lot of room to grow from there. In year one, success looks like owning on-device ML end to end as your domain — you architect the inference platform, ship it to the fleet, and root-cause its production issues from device logs yourself. You're also a credible firmware engineer across the stack — connectivity, OTA, power, drivers, telemetry — not needing anyone else to own the embedded side. And you've turned that platform into member-facing value: 2–3 on-device ML features shipped to the Pet GPS fleet, learning from real device behavior. For candidates based in the US, the salary range for this position is $143,000 to $261,500 USD. For candidates based out of Canada, the salary range for this position is $207,000 to $242,500 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, job-related knowledge, skills, and experience in determining final salary. Base pay may also vary based on geographic location, with US work locations falling into one of three geographic tiers. Total compensation is inclusive of equity compensation in the form of Restricted Stock Units (RSUs) , as well as a comprehensive benefits package, including medical, dental, vision, financial, and other benefits. What You’ll Do Build and Own the On-Device ML Platform Design and build the reusable on-device inference framework any Life360 device can adopt — the runtime, the model integration path, and the sampling and preprocessing pipeline — and make the platform-level calls (runtime and model format, memory/flash budgeting, OTA model updates). Own it end to end: you architect it, implement it, and debug it when it misbehaves on a device in the field. Do the Core Firmware Engineering Integrate inference into resource-constrained RTOS firmware (Zephyr / FreeRTOS) without compromising stability, scheduling, or power, and own the low-level plumbing — drivers, DMA data paths, SPI/I²C, and the middleware that feeds the pipeline. Debug on real hardware (oscilloscope, logic analyzer, JTAG) and drive cross-layer issues to root cause across the firmware/hardware boundary. Carry regular firmware work when ML demand is light — a full share of features, bug fixes, field issues, and on-call/triage. Develop and Ship Models on Device Get models running within firmware constraints — from Data Science or built and trained yourself, increasingly with AI-assisted tooling — handling quantization, operator support, and the latency/memory tradeoffs. Own the whole loop, from training output to validated on-device behavior. You don't take a model over the wall and hope. Optimize for Extreme Constraints Squeeze inference into tight power, memory, and latency envelopes, and own the tradeoffs between model accuracy, power draw, and footprint — validated in the real world, not just on the bench. Set Direction, Work AI-Natively, and Level Up the Team Drive alignment across firmware, app/cloud, data science, hardware, and ops on how on-device intelligence gets built here, and raise the team's embedded-ML fluency through code review, design docs, and pairing. Use AI tooling as a genuine development partner across firmware and ML, and help define what AI-native looks like for embedded work. What We’re Looking For Foundation 10+ years of firmware engineering, taking complex consumer hardware from prototype through mass production, with a demonstrated track record of shipping at scale. Bachelor's degree in Electrical Engineering, Computer Science, or a related field. Firmware Engineering — the core bar Deep C/C++ for embedded systems and real fluency in RTOS internals (Zephyr, FreeRTOS, or equivalent). Strong low-level hardware skills — SPI/I²C/UART, DMA, interrupts, driver development from the datasheet up — plus hands-on debugging (scope, logic analyzer, JTAG) and power/memory discipline. Edge ML Demonstrated experience deploying ML models on microcontroller-class hardware in a shipping product — not a course project or one-off PoC. Hands-on with embedded inference frameworks (TFLite Micro, CMSIS-NN, ExecuTorch, or equivalent) and model optimization (quantization, pruning); able to develop and train models yourself, not only deploy someone else's. Solid grounding in the sensor data and signal-processing pipelines that feed a model (IMU and similar). AI-Native and Communication You use AI coding tools (Claude Code or equivalent) as a genuine development partner and review their output as critically as any PR. Strong written communication and a habit of documenting decisions and working across firmware, hardware, and data science. Nice to Have Security and compliance for connected devices — secure boot, key provisioning, signed and rollback-safe OTA, and RF/regulatory certification (FCC/CE). Hands-on experience with cellular, BLE, GPS/GNSS, or audio subsystems on battery-powered wearables or trackers. New-board bring-up — powering up unproven hardware, verifying power rails and peripherals, and getting first firmware running on a fresh board. Hardware schematic evaluation — reading and reviewing schematics, partnering with EE on design reviews, and catching issues before a board spin. Factory and manufacturing support — manufacturing test development, production-line bring-up and debug, and supporting yield and quality at the contract manufacturer. AI-Native Expectations Daily use — you use AI tools (Claude Code, Cursor, or equivalent) every day for real firmware and ML work: drafting and refactoring code, debugging on-device failures, writing specs and design docs, and building or validating models. This isn’t autocomplete; it’s a standing part of how you work. Judgment and ownership — you review every line of AI-generated code and every AI-assisted model output as critically as you would a human PR before it ships to a device in the field. The AI writes it; you’re accountable for it. Velocity — you’re expected to use AI to compress timelines that used to take weeks, from specifications to working prototype to validated on-device behavior, and to be able to explain your approach when you don’t. Team leadership — you share what you learn (patterns that work, guardrails you’ve added, failure modes you’ve hit) through code review, design docs, and pairing, and you help raise the team’s AI fluency, not just your own. Continuous learning — you stay current on embedded-AI tooling and techniques and bring recommendations back to the team rather than waiting for them to arrive. Our Benefits Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer life and disability as well as supplemental plans for medical and dental for Canadian employees. 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees. Paid parental leave Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns Learning & Development programs Equipment, tools, and reimbursement support for a productive remote environment. Free Life360 Platinum Membership Tile trackers Life360 Values Our company's mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference Be a Good Person - We have a team of high integrity people you can trust. Be Direct With Respect - We communicate directly, even when it's hard. Members Before Metrics - We focus on building an exceptional experience for families. High Intensity, High Impact - We do whatever it takes to get the job done. Our Commitment to Diversity We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don't meet 100% of the below qualifications, you should still seriously consider applying! #LI-Remote