VP, Infrastructure Engineering

Remote, USAfull timeRemoteseniorH1B: yes

life360 The VP of Infrastructure Engineering at Life360 leads the platform, systems, and infrastructure organization to scale the company's products reliably. This role shapes technical strategy to support growth toward 150M monthly active users and $1B+ revenue by 2028, while adopting AI-native ways of working.

Responsibilities

While this is a leadership role and we expect you to be well-rounded across all areas, the specific areas of emphasis will be on the following pillars:
Strategic Leadership – Define, communicate, and execute an infrastructure vision in partnership with your functional counterparts that complements Life360's broader goals. Align infrastructure investment with business objectives in close collaboration with the executive team.
Developer Productivity & Enablement – Build the build/deploy pipelines, internal tooling, and self-service platforms that let engineering, product, and design teams ship faster — including AI-powered capabilities — without compromising security, privacy, or cost discipline. Bring firsthand experience helping an organization move toward AI-native ways of working, whether you drove that shift or were a meaningful part of it.
Reliability & Scalability – Keep infrastructure scaling securely and cost-effectively as user growth and workload complexity increase. Uptime, latency, observability, and disaster recovery are non-negotiables for systems serving tens of millions of families.
Team Leadership & Culture – Recruit, mentor, and grow a world-class infrastructure and platform engineering team. Act as a strong voice for engineering craft and culture, and foster innovation, collaboration, and continuous improvement.
Cross-Functional Alignment – Partner closely with Engineering, Data Science/ML, Security, and Product leaders to plan and execute strategic infrastructure initiatives, including the compute and platform needs that support AI-powered features.

Qualification

Direct experience withA genuine conviction that robust

Required

A degree in Computer Science or a related field.
A seasoned infrastructure/platform engineering leader with a track record of building stellar teams.
Many years of experience leading large-scale infrastructure or platform engineering organizations, including leading through managers or directors.
Deep technical fluency in distributed systems and cloud architecture.
A track record of scaling infrastructure for consumer products at massive scale — from iterative reliability improvements to big-bet platform investments.
Direct experience with, or meaningful involvement in, an organization's shift toward AI-native ways of working. Leading it isn't required, but you've seen it from the inside.