Jobs at Life360

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.

The Senior Software Engineer II will design and build backend features, evolve AI-native workflows, and enhance the payment infrastructure while collaborating closely with product teams to deliver high-quality solutions.

Lead and scale People Operations by driving automation, AI adoption, and process redesign across the employee lifecycle. Manage a small HR ops team, oversee global HR systems, ensure compliance (including SOX and local labor laws), run HR projects and audits, improve ticketing service delivery, and partner with cross-functional HR teams to deliver efficient, data-driven HR operations.

Partner with web product, marketing, engineering, and finance teams to own web analytics strategy and drive actionable decisions. Design and evaluate experiments and causal analyses, define metrics, ensure event instrumentation, and translate findings into product and growth recommendations. Use SQL and Python/R for statistical analysis, deploy experimentation platforms, and help shape AI-native analytics automation. Focus is on measurement, causality, and moving teams to act—not production ML.

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.

Lead and grow the Central regional Ads sales team to hit revenue targets. Coach sellers, manage pipeline and forecasts, sell Life360 Ads products (CTV, programmatic, PMP, video), deepen DSP/trading desk relationships, drive measurement-first pitches, collaborate cross-functionally, and represent the brand at industry events.

Lead product and strategy operations for a large engineering department: own OKR/QBR cycles, roadmaps, weekly execution alignment, centralize artifacts, transform workflows to AI-native, coordinate cross-functional intake, flag risks, and drive high-priority cross-functional projects from inception to launch.

Individual contributor responsible for meeting sales quotas across a territory by prospecting brands and agencies, building tailored native and content marketing programs, managing full sales cycles and pipelines, responding to RFPs, and representing Life360 at industry events.

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.

Lead go-to-market strategy and execution for Life360 Ads, translating ad product capabilities into verticalized, outcomes-oriented solutions. Influence product roadmap, build sales enablement (training, narratives, collateral), coordinate cross-functional launches, and drive adoption to generate measurable advertiser outcomes and larger deals.

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.

Drive revenue by selling Life360 Ads and Nativo native/content solutions to brands and agencies. Manage full sales cycle, build pipeline, craft strategic campaigns, respond to RFPs, meet quotas, and represent the company at client and industry events.

Lead architecture and implementation of high-throughput, low-latency AdServer and Exchange services. Design scalable, resilient distributed systems, integrate demand/supply partners, improve RTB/auction capabilities, advance observability and automation (including AI-driven testing/IaC), and mentor engineers to increase platform reliability and revenue growth.

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.

Design, build, and maintain scalable dbt transformation pipelines and dimensional data models on Databricks. Partner with data engineering and stakeholders to deliver trusted silver/gold datasets, implement data quality tests and monitoring, enable self-service semantic layers, and enhance LLM-driven tooling to accelerate analytics and automation.

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.