The Data & Analytics Team (DnA) is a 60+ person organization spanning data engineering, analytics engineering, analytics/decision science, and data science/ML. The science teams are organized into two sub teams, focusing on MAU and Revenue.
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.
Our Services engineering teams, part of our Quality and Scale Pillar, build and run the systems every Life360 member relies on but never sees.
The AI Platforms team builds the shared foundation that lets Life360 use AI quickly and safely. Today, that means powering AI adoption and productivity across the company: model access, agent tooling, and the infrastructure our engineers rely on every day.
We’re a small, senior Business Development team that grows Life360 through partnerships with leading companies. Our focus is named partners: we build the target list, open doors, close the deals, and stay involved after launch so that each partnership performs.
The Data Platform Core team designs, builds, and maintains scalable data infrastructure that empowers Life360 to make data-driven decisions.
The AI Platforms team builds the shared foundation that lets Life360 use AI quickly and safely: model access and routing, MCP gateway and connectors, the agent runtime and orchestration platform, memory and knowledge infrastructure, evals and observability, and cost controls.
The Services/Identity team in Foundations owns the systems that decide who our members are and whether they can get in: account creation, sign-in, session management, and recovery for families across more than 180 countries.
The US-based salary range for this position is $194,834 to $250,000 per year . We take into consideration an individual's background, job-related knowledge, skills, and experience in determining final salary.
That means owning the identity, endpoint, infrastructure, and collaboration experience end to end, and treating the services it owns as a product.
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