Life360

HQ
San Mateo
600 Total Employees
Year Founded: 2008
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Life360 Benefits Overview

Compensation + BenefitsWork-Life Balance + WellbeingCareer Growth + DevelopmentCompany Culture

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers accidental death & dismemberment insurance

Offers disability insurance

Offers supplemental life insurance

Offers company equity

Offers employee discounts

Offers employee stock purchase plan

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers dependent care

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Provides family medical leave

Offers generous parental leave

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid sick days

Provides paid holidays

Provides bereavement leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Company Culture

Offers a remote work program

Provides free snacks and drinks

Provides a mobile phone discount

Recently posted jobs

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Life360

Senior Software Engineer, II

2 Days AgoSaved
Remote
USA
Kids + Family • Mobile
Build and operate end-to-end, consumer-scale features across backend services, APIs, iOS, and Android for Life360’s Aging in Place vertical. Use AI-native and agentic workflows with LLMs, contribute to architecture and code reviews, participate in on-call response, mentor teammates, and establish AI engineering practices adopted across the organization. Collaborate with product and design while ensuring performance, reliability, accessibility, and member-focused outcomes.
Kids + Family • Mobile
Owns the end-to-end development of iOS monetization experiences, including paywalls, pricing, subscriptions, upgrades, and purchases across global storefronts. Partners with product, design, analytics, finance, and legal to prototype, experiment, launch, and optimize reliable consumer-scale features. Responsibilities include architecture, performance optimization, staged rollouts, code reviews, mentoring, and advancing AI-native engineering practices.
Kids + Family • Mobile
Leads advanced analytics across the organization, owning MAU forecasting and growth models, experimentation standards, and causal inference methods. Establishes analytical best practices, reviews high-stakes analyses, partners with data and product teams, and scales recurring work through AI tooling. Mentors data professionals and translates complex statistical findings into actionable leadership recommendations.
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