Principal Agentic Engineer, AI Ecosystem

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 107.7 million monthly active users (MAU), as of September 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) 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 Life360's AI ecosystem is being built by three teams working from a shared 2027 vision, each owning a distinct layer: • AI Platforms — the foundational infrastructure and company-wide AI governance: gateways and MCP connector infra, cost and spend controls, observability and safety guardrails, the agent deployment/orchestration platform, and knowledge graphs. • AI Dev Tooling (AI DevX) — AI-powered developer tools that remove friction across the software development lifecycle: coding assistance and productivity tooling, automated and agentic testing, and the codified primitives (CLAUDE.md, evals) that make shared and monolithic repos legible to AI. • Agentic PDLC — agents that remove humans from common, repetitive product-development work: on-call investigation, bug triage, code review, and release, consolidated under a single owner instead of being built ad hoc team-by-team. These teams deliberately don't own everything. A set of foundational questions — non-human identity and agent authZ, model regression eval frameworks, workflow/agent eval infrastructure, atomic agent-unit definitions, agent standards for what an agent can never do — sit in the shared space between them, ready to be addressed. About the Job We're hiring a Principal-level Agentic Engineer to hold the system view across AI Platforms, AI DevX, and Agentic PDLC — and to give the unowned middle ground between them an owner. This is not a coordination role. You'll have clear, end-to-end ownership of a defined set of cross-cutting problems, not an open-ended advisory brief. It's an architecture-and-build role for someone who can define what an "agent" is as a reusable unit at Life360, set the standards that make agents safe and evaluable, build an ecosystem that supports our agents, and then help each team build to that architecture. In addition, this role will craft the vision for how our broad agent ecosystem will evolve into the future. The role operates at two altitudes, and needs to be genuinely strong at both: • Strategic: set the technical vision for Life360's AI-Native developer ecosystem — the architecture that lets AI Platforms, AI DevX, and Agentic PDLC build against shared primitives instead of re-solving the same problems three times. • Tactical: get into the core components yourself — agent execution frameworks, context and retrieval systems, eval harnesses, identity and authZ for unattended agents — and ship the parts that are too foundational to leave to any one team, or that no team currently owns. You'll partner closely with the AI Platforms, AI Dev Tooling, Agentic PDLC, and our Product leadership (as their technical counterpart), but you won't report through any single one of them — your mandate is the seams between all of them. The US-based salary range for this position is $247,000 to $363,000. 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 Architect across the ecosystem • Hold the system view across AI Platforms, AI DevX, and Agentic PDLC, so investments compose instead of collide. • Drive build-vs-buy decisions for PDLC-critical agents, and for ecosystem-wide capabilities where an outside vendor may out-deliver an internal build. • Build the ecosystem that supports agents as we define them today and shapes how they evolve: execution frameworks, context and retrieval systems, and telemetry that treat token spend as a first-class design constraint. Define & own the unowned middle • Define what an agent is at Life360 — a reusable unit, the interface it exposes, and the standards it must meet (human-in-the-loop and blast-radius policy, eval standards, promotion gates) — in partnership with AI Platforms, who will operate the resulting infrastructure long-term. • Design the non-human identity and agent authZ model that unblocks scheduled and unattended agents across every team. • Stand up eval and