Life360

Full-stack Engineer

• Design and build high-quality Android growth features and experiments — across onboarding, activation, feature awareness, subscription conversion, and retention — running dozens of concurrent tests across the Life360 app.
• Partner with product, design, data science, and analytics to translate hypotheses into shippable experiments, and turn results into the next decision.
• Work with AI (Claude Code) as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate Kotlin code and tests, verify results, and perform reviews.
• Instrument experiments accurately — exposure logging and analytics — so the results downstream teams rely on are trustworthy.
• Ship polished, performant, and reliable Android experiences to tens of millions of users — with strong attention to startup time, memory, battery, ANR, and crash-free rates.
• Help define and codify AI-Native Android engineering practices for the team, establishing playbooks the broader mobile org can adopt.
• Contribute to architectural decisions, code reviews, and a culture of craft and continuous improvement on the Android codebase.
• Participate in on-call rotation and incident response for mobile experiments and releases.
• Use agentic workflows to dramatically increase the delivery of strong outcomes — moving faster without sacrificing quality.
• Mentor team members and contribute to team processes, technical standards, and help evolve the team's AI-native engineering practices.
• Support performance, reliability, and accessibility across the Android features you own.

Senior Software Engineer II, AI Native, Mobile

• Design and build high-quality APIs and services for our experimentation platform and recommendation/personalization systems — experiences that are reliable, performant, and genuinely useful to product teams and members.
• Work with AI (Claude Code) as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews.
• Help define and codify AI-Native engineering practices for the team, establishing playbooks the broader org can adopt.
• Build across the backend stack as needed — shipping polished, performant, and reliable experiences to tens of millions of users.
• Collaborate closely with product managers and data teams to turn complex user problems into elegant, scalable engineering solutions.
• Contribute to architectural decisions, code reviews, and a culture of craft and continuous improvement.
• Participate in on-call rotation and incident response.
• Use agentic workflows to dramatically increase the delivery of strong outcomes — moving faster without sacrificing quality.
• Mentor team members and contribute to team processes, technical standards, and help evolve the team's AI-native engineering practices.
• Support performance, reliability, and accessibility across the features you own.

Senior Software Engineer II, AI Native, Experimentation, ML

Developer Relations

• Design and implement CI/CD pipeline infrastructure using GitHub Actions, Argo Rollouts, or similar tools, optimizing for developer velocity and reliability.
• Build and maintain internal developer tooling, SDKs, and self-service platform capabilities on top of Kubernetes (EKS) and GitOps workflows (ArgoCD).
• Own infrastructure-as-code (Terraform/Atmos) for shared developer platform resources across multiple AWS accounts.
• Work with developers and operations engineers to define clear, helpful guidelines for rolling production changes out safely.
• Track metrics on organization tools like Cortex to validate that our changes are having the intended effect.
• Mentor junior and mid-level engineers on cloud-native development, platform patterns, and AI engineering practices.
• Contribute to incident response and postmortem processes, including building AI-driven tooling for detection, triage, and prevention.

Senior Backend Cloud Developer II, Developer Experience

Director

• Create thought-leading economic research and analysis leveraging Life360 data and external datasets to surface new insights about families and the business
• Write benchmark reports and publish insights
• Serve as Life360's public spokesperson on family behavior and consumer mobility trends, engaging media and speaking at industry events in partnership with Comms
• Build repeatable seasonal adjustment frameworks for retail/food service visit trends; own caveating methodology when data history is less than 3 years
• Develop a pipeline of data PR narratives (brand-specific and category-level) for economic/consumer/financial press
• Identify where Life360's first-party data creates a differentiated narrative angle
• Collaborate and work with Product, Engineering, Ads and the Data & Analytics team to align on what data infrastructure investments unlock the best storytelling ROI.
• Build relationships with internal and external subject‑matter experts, data scientists, and customers to surface exclusive insights and anecdotes
• Maintain newsroom‑grade standards of accuracy, ethics, and sourcing

Senior Director, Economic Insights

Backend Engineer

• Build and maintain components and features of Devices Cloud services — telemetry ingest, state management, command/control, and data pipelines — with a focus on quality and reliability.
• Own well-defined features and smaller designs from implementation through production, breaking down tasks and delivering accurate estimates with occasional guidance.
• Use AI-native engineering practices in your daily work: AI assistants for coding, testing, refactoring, and debugging, while owning and reviewing everything you ship.
• Work with firmware, mobile, product, and platform teams to implement APIs and integrations across the hardware-software boundary.
• Contribute to cross-team efforts, and escalate risks and blockers early.
• Thoroughly test your own code to catch logic issues before integration, and learn cross-functional requirements around security and scalability.
• Follow code review best practices, give and receive constructive feedback, and learn from senior engineers.
• Translate technical specifications into high-quality code, and contribute to team documentation.
• Communicate progress clearly and surface blocking issues early to your team and manager.
• Participate in on-call rotation and contribute to incident response and post-mortems.

Senior Backend Engineer II, AI Native, Devices Cloud

• Shape the technical direction of Life360’s Ads AdServer and Exchange platform, ensuring it scales reliably to support 20+ billion daily events with strict latency and availability targets.
• Drive architectural decisions that improve system resiliency, fault tolerance, and performance across distributed, multi–data center environments.
• Elevate the engineering bar by setting standards for design quality, scalability, observability, and operational excellence.
• Enable revenue growth by integrating demand and supply partners and strengthening Real-Time Bidding and auction capabilities.
• Partner with Product and Design to unlock new monetization opportunities through innovative ad formats and platform capabilities.
• Anticipate scaling challenges and proactively design solutions before they impact customers or business performance.
• Lead complex technical initiatives end-to-end, aligning multiple teams around clear architectural outcomes.
• Advance automation and quality practices, including AI-driven API validation and testing strategies, to improve velocity without compromising stability.
• Improve platform reliability by strengthening monitoring, incident response, and root cause analysis practices.
• Mentor senior engineers and act as a force multiplier, increasing the overall effectiveness and technical depth of the organization.

Staff Software Engineer, Ads Engineering – AI-Native

Operations

• Set up and manage Life360's direct-sold programmatic deals across integrated DSPs
• Troubleshoot deal issues quickly and escalate technical issues to engineering when needed
• Train and certify as an internal expert on all DSP partnerships — you'll be the one people come to with questions
• Monitor deal health daily to make sure campaigns pace and perform on target
• Spot in-campaign upsell opportunities for high-performing PMPs and products that match client goals
• Support campaign assembly and optimization for audience scale and inventory curation to exceed client KPIs
• Model deal pacing and revenue trends to support accurate forecasting and help the business plan ahead with confidence
• Communicate clearly with internal teams and clients, both verbally and in writing
• Collaborate with Platform Operations Director, Sales, and Product to shape strategic initiatives
• Build and grow strong client relationships that keep them coming back

Senior Platform Operations Coordinator

• Develop an integrated monetization strategy across International markets, including Europe, Latin America, Asia, Australia, and New Zealand.
• Build monetization frameworks and market-specific playbooks for evaluating product readiness and investment prioritization, that translate into actionable go-to-market launch decisions.
• Partner with Finance and the GM to model scenario analyses, TAM, ARPU sensitivity, and unit economics that directly inform investment cases.
• Act as the primary commercial strategy partner to the GM of International, helping sharpen priorities, stress-test initiatives, and connect product and commercial decisions.
• Collaborate across product, growth, marketing, partnerships, and the broader Commercial Strategy team to ensure commercial logic is embedded in everything the International OG ships or invests in.
• Partner with the Ads and Devices OGs to define the on-ramp for bringing the full Life360 commercial stack to International markets.
• Define and maintain the KPI framework for International commercial performance, including leading indicators that flag when markets are (or are not) on track.
• Establish an operating cadence for performance visibility, including dashboards, business reviews, and early-warning signals for course corrections.
• Track the ROI of commercial bets and bring structured post-mortems when investments underperform.
• Partner with and influence the CRO and executive team on international commercial strategy, translating complex market dynamics into clear strategic direction and driving alignment across the organization.
• Operate with influence across a matrixed organization, rallying engineering, product, marketing, and finance behind a shared commercial vision for International.

Director – International Commercialization Strategy

Product Manager

• Own the engagement strategy and roadmap across connection, coordination, and safety surfaces — setting multi-quarter direction and influencing at the org level
• Drive engagement growth across the member experience: identify and ship the highest-impact ways to deepen frequency, broaden multi-circle participation, and compound durable MAU
• Define the engagement metric framework — L5+ frequency, multi-circle activity, relationship depth — and use it to prioritize bets, design experiments, and measure outcomes
• Partner with Growth to convert acquisition into durable engagement: drive measurable lift in circles with multiple engaged members and members active in 2+ circles
• Influence across product teams that depend on engagement infrastructure — Growth, Platform, Safety — as a senior peer, not a dependent
• Lead experimentation at multiple scales: fast, narrow tests to validate hypotheses and multi-quarter bigger bets as strategy demands
• Ship the whole member experience end-to-end: onboarding, contextual prompts, modular components, and the engagement experiences that bring relationships to life across the product
• Operate as an AI-native PM: use AI to accelerate from insight to shipped experiment, and help define the playbook for AI-native product management at Life360

Director of Product, Engagement, AI Native

Data Engineer

• Define and drive the technical roadmap across data platform, analytics engineering, and ads data infrastructure. Set the architectural vision for how data is ingested, transformed, modeled, and served at Life360.
• Own the analytics engineering strategy end-to-end: dbt project structure, data modeling standards (dimensional, OBT, and semantic layer), testing and documentation practices, and the development workflow that analytics engineers use daily.
• Oversee the data platform: Databricks infrastructure, compute optimization, pipeline orchestration, data lake architecture, and the reliability/observability stack that keeps it all running at consumer scale.
• Drive toward a self-serve data experience where analysts and data scientists can answer their own questions without engineering bottlenecks—this is the outcome that ties platform and analytics engineering together.
• Make strategic build vs. buy decisions across the data stack and manage vendor relationships (Snowflake, Databricks, Amplitude, and related tooling).
• Drive data quality, governance, and documentation standards that make data trustworthy and self-service across the company.
• Bring an AI native approach to data engineering: leverage AI tools to accelerate development cycles, evaluate AI-powered data quality and anomaly detection solutions, and ensure our data infrastructure supports ML/AI workloads and experimentation at scale.
• Stay current on emerging technologies in the data and AI space and make pragmatic decisions about adoption—knowing when a new tool solves a real problem vs. when it’s a distraction.

Director, Data Engineering – AI Native

Technical Program Manager

• Build a working knowledge of the FDS team's data, tools, and AI capabilities, and become the trusted interface to it for Finance & Accounting stakeholders.
• Partner with Finance & Accounting teams across strategic finance, corporate finance, revenue, accounting, and SOX to identify high-impact opportunities for the FDS team to build against.
• Partner with the Finance Transformation team to assist with process redesign and solution implementation, with emphasis on AI native outcomes.
• Deeply map workflows: data sources, current process, requirements, SOX controls, and constraints. Translate business requirements into clear functional and data requirements the FDS team can execute against.
• Own delivery from scope through close: plan, coordinate, partner with the FDS team on execution, manage risk, and ship.
• Own stakeholder relationships and communication from kickoff through rollout, including with VP-level partners.
• Lead enablement: run training sessions, build internal docs, hold office hours, and provide rollout support so the tools we ship actually get used.
• Continuously hunt for automation and AI opportunities across Finance & Accounting beyond the known backlog.
• Coach Finance & Accounting partners on effective use of LLM tooling, agents, data, and automation patterns in their own work. Lead the uplift in AI, data, and automation fluency across the Finance org.
• Partner with Finance leadership on planning, stakeholder engagement, and program execution.

Senior Staff Finance Technical Program Manager

• Design and manage scalable data platforms powering real-time analytics, batch processing, and exploratory analysis, using AI-assisted development as the default workflow, not an afterthought.
• Own the full data lifecycle: ingestion, ETL, storage, and serving, building and iterating on pipelines with AI pair-programming tools (Claude Code) to accelerate delivery.
• Ingest data from diverse sources via both streaming (Kafka, Kinesis) and batch pipelines, unifying them into a consistent, queryable platform.
• Architect medallion-layer data models (Bronze/Silver/Gold) in Databricks, ensuring business needs are met with clean, well-documented schemas.
• Automate, test, and harden data workflows, writing AI-augmented tests, data quality checks, and CI/CD pipelines that catch issues before production.
• Build and maintain AI-ready tooling: craft prompts, custom slash commands, and agent workflows that let the entire team scaffold pipelines, generate documentation, and validate data quality faster.
• Build and improve Databricks Genie chatbots that allow non-technical users to query data using natural language.
• Collaborate with product analytics and data science, applying engineering rigor to messy, unstructured data and transforming it into reliable, production-ready datasets.
• Contribute to infrastructure-as-code (Terraform/Atmos) for provisioning and managing cloud data infrastructure.

Senior Data Engineer – AI Native

Analytics Engineer

• We are hiring a Senior Finance Analytics Engineer on the Finance Data Team to support data modeling, reporting, and designing data products for an AI-native consumption model.
• Design and build dbt models that serve as the source of truth for Finance & Accounting reporting, planning, and analysis.
• Partner directly with stakeholders in Finance, Accounting, Revenue, and FP&A to define metrics, shape requirements, and translate business logic into well-structured models.
• Write and optimize complex SQL against our Databricks environment with attention to accuracy.
• Uphold and evolve patterns for model design, testing, versioning, and data contracts across the dbt project.
• Design the semantic layer and metrics definitions (MetricFlow, Cube, or equivalent) that both humans and agents query against.
• Drive the documentation flywheel across dbt, Databricks, Confluence, and the semantic layer so that models, columns, and metrics are legible to LLMs and analysts alike.
• Use AI tooling (Claude Code, Cursor, and our internal capabilities) as a daily part of your own development workflow.

Senior Finance Analytics Engineer, AI Native

Artificial Intelligence

• Identify and develop media-worthy story angles from Life360's internal data, turning complex datasets into compelling earned media campaigns.
• Own and execute proactive PR strategies that generate consistent, high-quality coverage in national and consumer media.
• Build a repeatable data storytelling engine, defining key themes, tentpole moments, and always-on narratives that position Life360 as a source of cultural insight.
• Identify and lead opportunities to combine Life360 data with external datasets (e.g., census data, third-party research, or brand partnerships) to unlock new story angles and elevate the scale and impact of our data storytelling.
• Monitor social media, cultural trends, and news cycles to spot timely story hooks that connect to our data and our audience.
• Partner closely with data, analytics, product, and insights teams to scope analyses, validate findings, and ensure all external storytelling is accurate, responsible, and defensible.
• Translate complex datasets into clear narratives, key takeaways, and media-friendly framing that resonate with external audiences.
• Write pitches, press releases, reports, and supporting materials that bring our data stories to life.
• Lead the development of data reports and signature studies that can anchor major PR moments and elevate Life360’s thought leadership.
• Build and nurture relationships with reporters, editors, and producers across tech, consumer, parenting, lifestyle, and culture beats.
• Manage external PR agencies and freelancers where needed, ensuring brand and story alignment.
• Track and report on earned media performance, sharing learnings that sharpen future campaigns.
• Use AI daily to serve as a multiplier:
• Collaborate cross-functionally with marketing, social, and brand teams to amplify data stories and integrate data insights into campaigns, product moments, and broader company initiatives.

Data PR Manager – AI Native

• Design and build high-quality API and services for our subscribers and payment infrastructure— experiences that are safe, intuitive, and genuinely useful.
• Work with AI (Claude Code) as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews.
• Help define and codify AI-Native engineering practices for the Growth team, establishing playbooks the broader org can adopt.
• Build across the full stack as needed — shipping polished, performant, and reliable experiences to tens of millions of users.
• Collaborate closely with product managers and designers to turn complex user problems into elegant, scalable engineering solutions.
• Contribute to architectural decisions, code reviews, and a culture of craft and continuous improvement.
• Participate in on-call rotation and incident response.
• Use agentic workflows to dramatically increase the delivery of strong outcomes — moving faster without sacrificing quality.
• Mentor team members and contribute to team processes, technical standards, and help evolve the team's AI-native engineering practices.
• Support performance, reliability, and accessibility across the features you own.