AI Partner Engineer

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 95.8 million monthly active users (MAU), as of December 31, 2025, 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) regardless of any specified location above.

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.

The AI Native Platform team is a cross-functional engineering organization built to lay the infrastructure foundations for Life360's AI-native transformation. We are not exploring what might be possible — we are building the platform that makes it operational.

The team works across four interconnected areas: how Life360 safely accesses and governs the use of frontier AI models and external integrations; the agent deployment and workflow infrastructure that lets teams build, test, version, and operate autonomous agents with the same rigor applied to any production software; how we safely democratize data, information, and knowledge across the organization — making it queryable and usable by AI systems and humans reliably; and a multiplayer AI workbench that gives every employee a purpose-built environment tuned to their role, with relevant tools, knowledge, and workflows rather than a general-purpose chat interface.

The work is deliberate, high-velocity, and built to last. The bar is high: real use cases, production deployments, measurable outcomes.

The End User Workbench is where the platform meets the organization — and closing that gap requires more than good infrastructure. This role exists at that boundary, and on both sides of it. You will be forward-deployed into business functions across Life360 — Marketing, Legal, Finance, People, Revenue — building AI-native solutions for the people you work alongside and increasing their ability to build for themselves. What you learn in the field comes back to the platform: this role contributes directly to the design and build of the Workbench itself, shaping how it serves a workforce that is not all engineers. The form that it takes will evolve as the platform matures. What won't change is the expectation that you are a builder in both directions — out into the organization, and back into the product.

We are hiring an AI Partner Engineer to be the dedicated AI transformation partner for the business functions at Life360. You will embed for the long term — not parachute in with a solution — becoming the go-to person for departments like People, Finance, Legal, Marketing, and Revenue as they move through their own AI-native journey. Your job is to raise fluency not by running training sessions but by working alongside people on real problems until they can scope, design, and own their own agentic workflows. That shift takes time and it takes trust.

Building is how you earn both. The goal is to develop agentic workflows with the teams you support — not for them. Every engagement starts the same way: learn how a function operates, identify the workflows worth building agents around, and build alongside them using the platform stack the team is assembling. Sometimes you start alone to show what's possible. Sometimes you build agents side by side from the first line. You read the room, adapt, and stay present through the iteration that produces adoption.

You will sit within the AI Native Platform team, reporting to the Director of IT, and contribute to the End User Workbench as a product that has to work for people who are not engineers. What you learn in the field shapes how that platform evolves — and in some cases you will build directly into it to serve the specific needs of the functions you support.

Part of this role is knowing when not to build. Some of what's on the market genuinely solves workflow problems at scale for specific functions. You will help the departments you support evaluate those options with clear eyes — separating real capability from vendor noise — and make honest recommendations about when to buy versus when to build.

Life360's systems carry real-time location data and family relationship graphs for tens of millions of people, including minors. How AI and agents interact with that data is not a secondary concern. It is built into the design brief from the start.

The US-based salary range for this position is $148,000 to $216,500 USD. For candidates based out of Canada, the salary range is $171,500 to $201,000 CAD. We take into consideration an individual's background and experience in determining final salary — therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

• →Embed in each function before building anything — learn how work actually moves, surface the workflows worth automating, and build them using the platform stack the team is assembling. Production adoption is the metric, not a polished demo.
• →Configure and deploy the End User Workbench for each function you support — tailored to how that team actually works, not a generic starting point.
• →Scope, build, and ship agentic workflows in production across business functions like legal review, financial operations, marketing, HR, and revenue. These are not prototypes.
• →Evaluate AI-native vendor solutions alongside the functions you support — separating genuine capability from hype and making honest build-versus-buy recommendations. When something real exists, recommend it. When it doesn't, build it.
• →Work alongside people on real problems until they can scope, build, and own their own agent workflows. The measure is when teams you support are shipping without you.
• →Support your partners through agent ownership — what it means to maintain a workflow when you've never operated software before. You'll work through those questions in practice, not in theory.
• →Return field signal to the platform. What you learn forward-deployed shapes how the End User Workbench evolves — and in some cases you will build the solution directly into it.
• →Partner with Legal, Privacy, and Security to keep data boundaries built into every workflow from the start — not appended at the end.
• →Document what works — configuration templates, workflow patterns, and deployment approaches that make the next engagement faster and safer.

• A track record of building and shipping technology solutions that run in production — agentic workflows and LLM-powered applications, or automation pipelines and custom integrations built for specific business functions.
• Product management instincts paired with engineering execution. You can surface what a non-technical team actually needs — not just what they ask for — and translate it into something buildable.
• Strong judgment on the AI vendor market — you follow what's being built, separate genuine capability from positioning, and can make and defend a build-versus-buy call.
• The ability to build trust with non-engineering teams and stay embedded through slow, non-linear organizational change. Patient without being passive.
• Clear communication in both directions — you can explain agentic workflows to someone who has never written code, and explain why a business process is hard to automate to an engineer. Both need to land.
• Comfort with ambiguity. The working model for this role is being built alongside you — you are energized by that, not destabilized.
• Genuine awareness of what it means to build with sensitive data — location, relationships, minors. You treat data boundaries as design inputs, not compliance steps.
• A background that spans technical delivery and cross-functional collaboration — solutions engineering, corporate IT, AI product work, or a combination. The title matters less than whether you've done the work.
• Bachelor's degree or equivalent experience.

Bonus points if you have:

• Deep familiarity with one or more of the business functions this role serves — legal operations, financial operations, marketing, HR, or revenue operations — and the workflow patterns specific to how those teams work.
• Experience with workflow orchestration frameworks and agentic tooling — LangChain, LangGraph, Tray, or similar — and an opinion on when to use them and when not to.
• Background contributing to the design or development of internal AI tooling, enterprise platforms, or business function-specific technology.
• Experience navigating technology adoption or change management in non-engineering teams.

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.

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!

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