Jobs at Life360

Own and scale Life360’s programmatic advertising exchange and SSP capabilities. Responsibilities include exchange operations, reliability, roadmap and backlog management, monetization optimization, OpenRTB and header-bidding integrations, partner management, ad quality, incident resolution, and cross-functional alignment across Engineering, Sales, Marketing, Finance, Legal, and Business Development.

Leads MAU analytics and data science, managing decision scientists and data scientists while setting quality standards. Owns MAU driver modeling, forecasting, causal analysis, experimentation, and exploratory work supporting growth strategy. Establishes consistent analytical practices, partners with revenue, product, engineering, and data engineering leaders, and embeds the team in roadmap planning. Promotes AI-native workflows through coding agents, automation, and analytical tools while coaching team members into strategic advisors.

Leads marketing planning, operating rhythms, budgeting, and cross-functional process infrastructure. Owns long-range, annual, and quarterly planning; executive communications; workflow design; agency procurement; and real-time budget tracking. Partners with the CMO, Finance, and marketing leaders to align priorities, improve operational efficiency, control costs, and connect marketing execution to company objectives across global B2C and B2B teams.

Own analysis and algorithmic solutions for ads delivery; train, deploy, and scale ML/optimization models into production; build logging, monitoring, and lineage; improve data pipelines; mentor data scientists; use agentic AI tools daily; collaborate with engineers to integrate models into ads systems and handle on-call production incidents.

Lead product strategy to ensure Life360's platform is fast, reliable, and observable at scale. Define platform KPIs, embed performance and reliability into product requirements, evolve observability and telemetry, surface systemic risks, and align engineering and leadership to prepare infrastructure for massive user growth.

Design, build, and scale MLOps infrastructure and CI/CD/continuous training pipelines. Deploy and monitor ML models as microservices or batch jobs, manage cloud GPU/CPU resources with IaC, enable observability for model drift and latency, and collaborate with data scientists, engineers, and product teams to ensure reproducibility, compliance, and production reliability.

Build and maintain high-throughput, low-latency backend services for Life360’s AdServer and Exchange platform. Own projects from architecture and implementation through deployment, improve real-time bidding and auction logic, integrate advertising partners, and support observability, incident response, and reliability. Collaborate with architects and product teams, use AI coding tools daily, mentor junior engineers, and contribute to engineering standards.

Individual contributor responsible for driving revenue via consultative digital advertising sales. Develop go-to-market strategies, manage pipeline and quotas, craft native/content marketing programs on Nativo's platform, cultivate agency and brand relationships, respond to RFPs, lead strategic client conversations, travel to clients/events, and represent Life360 at industry conferences.

Individual-contributor ad sales role responsible for meeting revenue quotas by developing go-to-market strategies, building and managing a strong pipeline, selling native/content programs via Nativo, leading strategic client/agency conversations, responding to RFPs, and representing Life360 at industry events.

Owner of Life360's unified organic discovery strategy across SEO, AEO/GEO, and ASO. Lead content strategy, site information architecture, technical SEO, structured data/AEO optimization, AI citation growth, regional localization, off-page authority, and performance reporting. Manage a content strategist and external agencies and partner with Engineering, Product, Marketing, and PR to execute technical and editorial initiatives that drive organic traffic and conversions.

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.

Quota-carrying seller focused on growing programmatic advertising revenue by prospecting agencies, DSPs, and direct buyers. Own full sales cycle: pipeline building, deal structuring (PMP, programmatic guaranteed), RFP responses, post-sale account management, and industry representation. Translate Life360 audience and inventory into revenue and share market insights with the broader sales organization.

Build and operate high-throughput experimentation and recommendation infrastructure. Design APIs and services, use agentic AI workflows (LLMs) for development, ensure performance and reliability, participate in on-call, mentor teammates, and codify AI-native engineering practices.

Lead strategy and execution to grow Life360 subscriptions by defining membership architecture, pricing and packaging, partner monetization, freemium feature roadmaps, experimentation, and AI-native product practices. Drive revenue-per-member, partner integrations, and cross-functional delivery while advocating subscriber value and satisfaction.

Lead design and strategy for Life360 Ads B2B marketing materials: pitch decks, sales enablement, digital and social ads (static and motion), event assets, websites, case studies, and brand/asset systems. Collaborate with sales, marketing, and product, iterate quickly, and maintain consistent design systems to drive engagement and conversion.

Design, implement, and own a reusable on-device ML inference platform for resource-constrained devices. Integrate inference into RTOS firmware, develop drivers and DMA paths, debug on real hardware, train and optimize models for microcontroller-class hardware, and ship features to production while raising team expertise and using AI-assisted tooling.

Own consolidated monthly forecasting, long-range planning, headcount and payroll reporting, and executive-level analyses. Act as Pigment subject-matter expert, partner with People & Talent, support investor relations and cash-flow forecasting, and drive automation and AI-enabled FP&A improvements across the company.

Design, build, and maintain scalable distributed data pipelines and a secure data lakehouse for streaming and batch processing to support real-time analytics, ML, and experimentation. Automate, test, and harden workflows, architect logical and physical data models, build ML model features, and collaborate with product, analytics, and data science teams to turn data into value.

Embed with product, engineering, marketing, and finance teams to own analytical narratives, establish causality via experimentation and causal inference, define measurement strategies, drive actionable insights, shape AI-native analytics tooling, and mentor senior analysts. Focus is on decisions and measurable impact rather than dashboards.

Partner with product, engineering, marketing, and finance to drive decisions using causal inference, experimentation, and analytics. Own measurement strategy, present actionable insights, shape AI-native analytics tooling, and ensure analyses translate into product and business outcomes.