Jobs at Life360

Lead Life360’s infrastructure and platform engineering organization, defining strategy for scalable, reliable, secure, and cost-effective systems. Oversee developer productivity, CI/CD, internal tooling, observability, disaster recovery, and AI-native infrastructure. Build and mentor a world-class organization, partner with engineering, data science, security, and product leaders, and guide infrastructure investments supporting massive consumer scale and AI-powered products.

Build and maintain Life360’s iOS advertising SDK, mediation and header-bidding integrations, ad formats, privacy and consent flows, instrumentation, and experimentation systems. Improve ad quality, performance, and reliability at large scale while collaborating with ad operations, data, product, and external partners. Use AI-native workflows with agentic coding tools, contribute to architecture and incident response, and mentor teammates.

Senior Decision Scientist partners with product, engineering, marketing, and finance teams to guide roadmaps, resource allocation, and business strategy. The role uses experimentation, causal inference, statistical analysis, metric strategy, and user behavior research to produce actionable recommendations. Responsibilities include establishing causality, improving instrumentation, communicating insights to leadership, and using AI tooling to scale analytical workflows. The position requires consumer technology analytics experience, strong SQL and Python or R skills, and expertise in experimentation and causal inference.

Build and manage Life360 Ads' demand-generation system, including lead stages, routing, HubSpot and Salesforce operations, website and landing pages, SEO, AI-search visibility, paid search, LinkedIn campaigns, email, account-based marketing, tracking, dashboards, and conversion testing. Partner with Sales, Content, Design, Events, and technical teams to improve lead quality, follow-up, qualified opportunities, and pipeline growth.

Commercial counsel supporting Life360’s advertising and ad tech business. Drafts and negotiates publisher, DSP, SSP, advertising insertion order, content licensing, DPA, procurement, and marketing agreements. Advises Ads, Sales, Ad Operations, Product, Privacy, Engineering, Finance, and Marketing teams on legal risk, privacy compliance, and deal execution. Builds contract templates, playbooks, fallback positions, and workflows while tracking advertising and privacy law developments.

Lead IT Operations and IT Engineering for enterprise identity, endpoint management, network infrastructure, collaboration tooling, and end-user services. Set strategy, SLAs, roadmaps, and metrics; hire and develop a high-performing team; partner closely with Security, Finance, People, and Legal; drive AI-native automation and productivity tooling; own vendor relationships, budget planning, and major incident escalation and migrations.

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.

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.

Leads strategic analyses, market expansion decisions, acquisition and investment evaluations, financial modeling, valuation, and diligence for Life360’s corporate development team. Builds and deploys AI agents to identify acquisition targets and automate analysis. Partners with finance, legal, product, senior executives, and cross-functional stakeholders to develop recommendations and support live deals.

Lead strategic business development for Life360 by identifying high-value technology and consumer partners, opening executive relationships, negotiating distribution partnerships, and driving launches and post-launch growth. The role owns partner strategy, coordinates cross-functional teams, and targets three signed and two launched partnerships in the first year. Candidates should have approximately 15 years of technology business development or strategic partnerships experience, executive relationships, complex deal experience, and AI-enabled workflow expertise.

Leads a team of five executive assistants, supports 2–3 C-suite executives, and establishes standards for executive administration. Responsibilities include coaching, hiring, process and playbook development, AI adoption, coverage planning, travel and event coordination, vendor management, executive scheduling, meeting preparation, stakeholder communication, expense management, and confidential information handling.

Lead engineering teams responsible for Life360’s critical platforms, including location and messaging, cloud infrastructure, identity, and partner ecosystems. Set technical direction, modernize legacy systems, improve reliability and scalability, establish engineering metrics, and develop engineering managers and technical leaders. Partner with Product, Security, Data, and Engineering leadership to align technical investments with business outcomes while supporting secure, high-performing systems serving millions of users.

Build and maintain premium mobile features, subscription and in-app purchase flows, paywalls, pricing experiences, and advertising functionality for Life360’s consumer app. Own feature quality, performance, reliability, experimentation, and incident response at 100M+ user scale. Collaborate with product, design, data science, and analytics teams; use AI coding agents extensively; contribute to architecture and code reviews; mentor engineers; and help evolve AI-native engineering practices.

The Director of AI Platforms will lead the AI Platforms team, define its roadmap, and build shared infrastructure for model access, agent runtimes, MCP integrations, evaluation, identity, inference, and cost controls. The role drives adoption of agentic engineering practices, extends AI platforms to consumer-facing products, partners with Security, Privacy, and Legal on safeguards, and measures outcomes such as quality, cost, adoption, and delivery speed. The leader will hire and develop engineers while providing hands-on technical direction.

Build and own Android growth and monetization experiments across subscriptions, pricing, advertising, purchases, and upgrade flows. Partner with product, design, data science, and analytics to instrument experiments, manage staged rollouts, monitor performance, and act on results. Use AI tools throughout development, contribute to Android architecture and engineering practices, participate in on-call support, mentor engineers, and help scale reliable mobile experiences to tens of millions of users.

Own revenue-focused data science from opportunity sizing through production ML. Investigate and measure product changes, build and operate batch and online ML systems for personalization, experimentation, and automation, and partner cross-functionally to integrate models into user-facing products. Establish monitoring, lineage, reproducibility, and security practices; improve data pipelines; mentor data scientists; and define ML development best practices while using AI tools to accelerate delivery.

Advise ads product, engineering, marketing, and sales teams on privacy, consumer protection, content regulation, and product development matters. Counsel the advertising business on GDPR, CCPA, international regulations, content policies, and risk management. Monitor regulatory trends and collaborate cross-functionally to support compliant ad-tech products and services.

Build and own Android growth and monetization experiments across subscriptions, advertising, purchases, and upgrade flows. Partner with product, design, data science, and analytics to instrument experiments, evaluate results, and ship reliable experiences at consumer scale. Use AI-native workflows for specification, coding, testing, and review; improve mobile engineering practices; contribute to architecture and code reviews; participate in on-call; and mentor engineers.

Build and operate scalable backend services for connected devices, including device connectivity, telemetry ingestion, health monitoring, command and control, and data pipelines. Collaborate with firmware, mobile, and product teams on APIs and workflows. Use AWS, microservices, streaming systems, observability tools, and AI coding agents to deliver reliable features, participate in incident response, and improve automation and engineering practices.

Design and run high-volume experiments across subscription and monetization experiences, including pricing, trial conversion, SKU routing, churn prevention, and win-back. Translate ambiguous briefs into testable hypotheses, collaborate with product, engineering, data science, and content teams, define success metrics, interpret results, and present learnings. The role requires strong visual and interaction design craft, animation skills, organized Figma files, proactive ideation, and effective use of AI and experimentation tools.