Jobs at Life360

Lead Android-first development of growth experiments and features, using AI-native workflows to design, implement, instrument, and analyze A/B tests. Ship performant, reliable Android experiences at scale, mentor teammates, participate in on-call, and codify AI-native engineering playbooks for broader adoption.

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.

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.

Design, build, and operate internal developer platform components—CI/CD pipelines, Kubernetes-based tooling, GitOps workflows, and IaC—improving developer velocity and reliability. Mentor engineers, drive cross-team platform initiatives, track metrics, contribute to incident response, and build AI-powered automation for detection, triage, and developer productivity.

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.

Own go-to-market for Life360's advertising products across Direct and Self-serve lines. Define positioning, messaging, packaging, and commercialization. Partner with Product, Sales, Engineering, and Data Science to launch products, influence roadmap, and measure adoption. Create sales enablement, market research, competitive intelligence, and KPIs to drive growth of programmatic, CTV, online video, native, audience, and data products.

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.

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.

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 and engineer Life360's enterprise identity platform: architect SSO, lifecycle workflows, MFA, group provisioning in IaC, automate access governance, device trust, and consolidate legacy identity. Build IAM KPIs, codify provisioning in Terraform, integrate with HR and access-request tooling, and use AI coding agents to draft and validate infrastructure and policy changes.

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.

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.

Lead creation and publication of data-driven economic research using Life360 first‑party and external data. Develop seasonal adjustment frameworks, craft public narratives, serve as company spokesperson, partner with Data & Analytics, Product, and Comms, and build data‑storytelling methodology within compute and time-series constraints.

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.

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 define high-impact analytical questions, establish causal measurement (A/B tests, causal inference), set metric strategies, drive decisions from analysis, and shape an AI-native analytics stack while mentoring senior data staff.