Life360
Tech / AI / Software
StaffAIArchitect
Neural analysis suggests this role is
optimal for Lead candidates.
“Staff AI Architect at Life360. Skills: AI Architect, inference pipeline, LLMs, cloud engineer, AI systems in production. Architect the inference pipeline that turns Life360 into a context layer LLMs can reason over: soul files, family context, behavioral signals, document understanding.. Choose models.”
What You'll Achieve.
product feels seamless to users; data stays safe; inference costs don't run away from us; know whether the system is actually getting better, not just feeling different; know whether changes make the product better or worse, not just whether the demo works; keep unit economics working from a test group to millions; build something meaningful
Industry & Context.
make the tradeoffs between latency, cost, and quality; deciding with incomplete information
AI tool usage during interviews varies by role., May be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance., Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.
What They're Looking For.
Must Have
Deep engineering experience, with significant time spent building and running AI systems in production at meaningful scale., Real users, real load, real on-call., Fluent in modern LLM serving (vLLM, TGI, SGLang, hosted APIs — whatever's right for the job)., You think in evals., You've built harnesses., You can build a cloud system from the ground up., AI-native in your daily workflow., Hands-on with Claude Code, Cursor, or equivalent., Comfortable deciding with incomplete information., You write specs, decision records, and playbooks that an agent (and a human) can act on precisely.
Nice to Have
Experience with agent systems, retrieval pipelines, or long-context personalization., Privacy architecture experience in multi-user systems where context is shared across people with different rights to see it., You've built something where the data itself was the moat — and you understand why that's different from building on public data.
What You'll Do.
Architect the inference pipeline that turns Life360 into a context layer LLMs can reason over: soul files
document understanding.
Decide what is self-hosted
or prompt-engineered.
Revisit those decisions as the landscape changes.
Build the serving infrastructure.
Make it run at scale before scale gets here.
Find the levers (context compression
pre-computation) that keep unit economics working from a test group to millions.
Define what gets persisted
and what gets thrown away.
Set the bar for safety
and trust at the infrastructure layer.
Sensitive categories filtered before they propagate.
How You'll Work.
Team & Collaboration
founder-led team operating like a zero-to-one startup; co-founder of this initiative
Communication Scope
Be Direct With Respect; written communication
Full Job Description
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 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 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 AI Lab is a small, founder-led team operating like a zero-to-one startup inside Life360, building the company’s next chapter. Our mission is to transform Life360 from the app you open to find your family into an intelligent operating system families rely on daily. We design and build an AI-powered
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