Life360

Product Manager

• Drive engagement growth across the member experience. Identify and ship the highest-impact ways to deepen and broaden member engagement — across the moments that matter to families and the relationships members hold most closely.
• Grow engagement in multiple forms. Partner with Growth and adjacent teams to help members engage meaningfully with the multiple close relationships in their lives. Drive measurable lift across the number of new circles with multiple engaged members, the share of members active in 2+ circles, and the depth of activity within each circle. These connected outcomes are how acquisition converts to durable engagement and how the relationship graph becomes self-reinforcing.
• Operate as a deep collaborator across the team. Engagement moves fastest when bigger bets are shaped in partnership with cross-functional leaders — across the experience, platform, and growth surfaces. You bring rigor and pace, but the path through is built with the team — not handed to them. Contextual prompts, modular components, and the engagement experiences that bring relationships to life across the product are surfaces you'll co-own with adjacent leads.

Principal Product Manager, AI Native – Engagement

Financial Planning and Analysis

• Oversee the preparation and review of SEC filings, including Forms 10-K, 10-Q, and 8-K, as well as investor communications such as press releases, investor presentations, and other investor conference materials, in accordance with U.S. GAAP and SEC rules and regulations
• Own GAAP and SEC disclosure checklists and tie-out binders in compliance with the Company’s SOX controls
• Oversee the preparation of internal financial reporting packages, including performing financial and trend analyses and drafting related commentary and internal management and board reporting
• Own month-end close for technical accounting areas, including capitalization of internally developed software and review direct reports’ close deliverables and workpapers
• Review and write technical accounting memorandums and provide guidance on U.S. GAAP matters, including internally developed software, adoption of new accounting standards, impairment analyses, valuations, and the accounting impact of new agreements
• Update and review internal control documentation and support the Company’s SOX compliance efforts
• Primary contact with the external auditors including managing audit requests and driving timely resolution of open items across the quarterly reviews and annual audit.
• Partner effectively and proactively with Legal, Accounting, Tax, Strategic Finance, and Investor Relations on financial reporting matters
• Manage, coach, and develop a team of four (two direct reports), fostering a culture of accountability, collaboration, and continuous learning
• Assist with special projects as needed

Senior Manager, Financial Reporting

Developer Relations

• Design and build platform-level test infrastructure for iOS and Android that runs continuously, scales automatically, and surfaces signals without human intervention.
• Apply AI-driven failure classification to reduce noise, prioritize signal, and cut time-to-fix on test failures across mobile suites.
• Partner with the AI Native platform team to ship net-new skills that replace categories of manual engineering work.
• Build and maintain in-app instrumentation for mobile performance, quality signal, and test execution telemetry.
• Design data pipelines that feed quality signals into dashboards, alert systems, and AI analysis layers, providing the org with real-time visibility into test health and app quality.
• Own the infrastructure used to baseline, monitor, and debug mobile API behavior in CI.
• Partner with Mobile, Backend, and Release Engineering teams to embed AI-native quality practices throughout the development lifecycle — from intent to production.
• Contribute to the design and rollout of agentic quality automation: systems that act on quality signals rather than just report them.
• Raise the pod’s AI-native capability — documenting what works, improving shared workflows, and helping others develop the judgment to direct AI effectively.

Senior Software Engineer II – AI-Native, Mobile, Developer Experience

Product Designer

• Drive end-to-end design across Life360's devices portfolio, including Tile, Pet GPS, and other hardware products. This role translates insights and strategy into elegant, scalable experiences that span physical and digital touchpoints.
• Deeply understand the devices ecosystem, hardware constraints, companion app interactions, and user mental models, and design experiences that feel seamless whether a member is on the Life360 app, the web, or interacting with a physical device.
• Own the in-app experience for how users set up, manage, and get value from their devices within Life360.
• Lead early-stage design by rapidly prototyping hardware-software interaction concepts using AI-native and standard design tooling to test novel experiences at speed.
• Map and storyboard end-to-end user journeys across physical and digital moments — from unboxing to daily use — and turn them into visual artifacts stakeholders can quickly react to.
• Design frameworks and interaction models that reduce friction across device setup, management, and troubleshooting flows.
• Develop scalable patterns that unify the devices experience across form factors and surface areas.
• Partner across Product, Engineering, Brand, Research, Hardware, and Industrial Design to deliver high-quality outcomes and influence strategy with a strong design point of view.
• Present insights and solutions at both the IC and C level that shape the devices roadmap and business strategy.
• Guide and mentor fellow designers, modeling exceptional craft, curiosity, and cross-functional collaboration.
• Champion design culture and innovation by bringing in inspiration from consumer hardware, IoT, and connected product spaces.

Principal Product Designer, Devices

• Drive end-to-end design of experiences that connect families across distance, life stage, and relationship type — from daily reassurance to safety-critical moments.
• Translate strategy and user insights into elegant, scalable UI/UX solutions aligned with Circle Expansion priorities.
• Lead early design explorations for connection, safety, and contextual experiences that serve families across life stages, relationship types, and the communities people move through together.
• Rapidly design and prototype using Figma, AI-assisted tools, and interactive frameworks moving from concept to testable experience quickly and iterating with real members and stakeholders.
• Create frameworks and interaction models that make complex experiences feel simple and human.
• Expand the design system with scalable patterns that work across relationship types, life stages, and devices.
• Partner closely with Circle Expansion PM, engineering, research, and industrial design to deliver high-quality outcomes across software and hardware surfaces.
• Influence roadmap decisions by connecting design directly to member needs, engagement, and business growth.
• Guide and mentor designers across the org, modeling exceptional craft and systems thinking.
• Champion design culture by introducing new practices and inspiration from the broader industry.

Senior UX/UI Product Designer, Circle Expansion

Security Engineer

• Develop systems and tools that improve the security posture of Life360's DLP, device hardening, SaaS, and zero trust layers
• Execute security strategy and policy for Life360-built services and SaaS applications
• Review and provide architectural guidance on infrastructure systems, fleet management, and automation
• Own EDR agent deployment health and coverage across the endpoint fleet, ensuring CrowdStrike Falcon agents are installed, current, and correctly configured on every managed device; identify and close coverage gaps in partnership with IT and D&R
• Partner with D&R on log source enablement, ensuring corporate systems (Kandji, Intune, Slack, Box, Google Workspace) emit the telemetry D&R needs for detection and investigation, without owning the detection logic itself
• Build and operate agent-assisted workflows that take action across endpoint, SaaS, and awareness domains — directing AI more than doing the work by hand, with appropriate guardrails on anything that touches sensitive data or production systems
• Automate the boring parts using Python, Tray.io, Lambda, and AI agents to eliminate manual toil across endpoint, SaaS, and corporate security workflows
• Engineer controls that satisfy SOC 2 and privacy requirements across device and SaaS layers, partnering with GRC on evidence collection and audit readiness
• Own the security awareness program end-to-end, including developing and delivering training, running phishing simulations, tracking and reporting metrics, and continuously improving the program to drive measurable behavior change

Senior Enterprise Security Engineer

Full-stack Engineer

• Design and build high-quality API and services for the international adaptation of Life360 — services that are life saving, 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 International 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.
• Hold a high bar for quality end-to-end: you define what "done" means, instrument your work for observability, and treat post-launch behavior as part of the job — not someone else's problem.
• 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.

Staff Software Engineer – AI-Native

• Conduct security architecture reviews across mobile (iOS/Android), backend (Java, Python, PHP), data pipelines, and third-party integrations. You're the security partner teams come to during design, not after.
• Translate threat models and security requirements into pragmatic guidance engineers can act on.
• Build trusted relationships with product and platform engineering teams
• Further operationalize and tune ASPM tooling (Cycode) to unify SAST, SCA, secret scanning, and container security into actionable signal, not noise.
• Build security-as-code patterns and pre-approved libraries that make the secure path the default path.
• Automate vulnerability triage, deduplication, and routing so the team spends time on judgment, not toil.
• Drive SLA-based remediation workflows with clear severity definitions, ownership, and escalation paths.
• Build metrics that translate security posture into language engineering leadership and executives can use.
• Partner on design reviews for AI-powered features: model access controls, data boundary enforcement, and retrieval system authorization.
• Contribute to securing agent workflows, MCP integrations, and shared AI tooling as adoption scales across engineering.
• Work with Privacy, Legal, and Data Platform on controls for sensitive data: real-time location, family relationships, and data involving minors.

Senior Product Security Engineer

Project Manager

• Support the Creative Operations Manager in coordinating cross-functional workstreams across Creative, Marketing, Product, Sales, and Web Development
• Track and communicate project status regularly—keeping timelines, milestones, and deliverables up to date in our PM tools
• Identify and flag project risks early, troubleshoot blockers, and recommend solutions before deadlines slip
• Help develop and maintain lightweight, repeatable processes that make it easier for creative teams to collaborate and ship deliverables
• Coordinate resourcing conversations and contribute to roadmap planning discussions
• Prepare project updates, status reports, and team communications for stakeholders and leadership
• Participate in standups, sprint reviews, and planning sessions—keeping things moving and decisions documented
• Look for opportunities to improve how the team works and raise your hand when you spot them

Senior Creative Project Manager

Artificial Intelligence

• Embed in each function before building anything — learn how work actually moves, surface the workflows worth automating, and build them using the platform stack the team is assembling. Production adoption is the metric, not a polished demo.
• Configure and deploy the End User Workbench for each function you support — tailored to how that team actually works, not a generic starting point.
• Scope, build, and ship agentic workflows in production across business functions like legal review, financial operations, marketing, HR, and revenue. These are not prototypes.
• Evaluate AI-native vendor solutions alongside the functions you support — separating genuine capability from hype and making honest build-versus-buy recommendations. When something real exists, recommend it. When it doesn't, build it.
• Work alongside people on real problems until they can scope, build, and own their own agent workflows. The measure is when teams you support are shipping without you.
• Support your partners through agent ownership — what it means to maintain a workflow when you've never operated software before. You'll work through those questions in practice, not in theory.
• Return field signal to the platform. What you learn forward-deployed shapes how the End User Workbench evolves — and in some cases you will build the solution directly into it.
• Partner with Legal, Privacy, and Security to keep data boundaries built into every workflow from the start — not appended at the end.
• Document what works — configuration templates, workflow patterns, and deployment approaches that make the next engagement faster and safer.

AI Partner Engineer

• Lead Corporate Finance and take ownership of Life360’s enterprise planning, consolidated reporting, and board-level financial materials.
• Set the planning cadence and define reporting standards.
• Key driver behind Life360’s investor relations materials.
• Manage two direct reports and the team's growth.
• Advocate for AI tools in the finance function.

Senior Director, Corporate Finance

• Secure how Life360 accesses frontier models. Design, build, and iterate the access controls, policy enforcement, and authorization patterns that govern how systems interact with the frontier models they rely on.
• Build secure patterns for MCP access and tool use authorization. Build and own the controls that vets, risk-tier, and govern how we integrate with external tools and services via MCP as adoption expands across engineering teams.
• Design and build the identity and authorization model for autonomous agents: service identities, scoped credentials, and least-privilege access patterns. Define and enforce the trust boundaries that govern how agents interact across orchestration chains.
• Design and build agentic observability and adversarial defenses. Build the telemetry pipelines and behavioral monitoring that provide visibility into AI system behavior. Implement architecture-level defenses against prompt injection and related adversarial attack classes.
• Shape security for the common AI end-user platform. Lead design reviews, build access controls, data boundary enforcement, and abuse detection that keep a shared AI environment safe across users with different privilege levels.
• Secure the shared knowledge layer. Define access control and data governance for retrieval augmented and reasoning systems, ensuring AI-powered tools don't surface sensitive data to the wrong systems or users.
• Build AI supply chain integrity into the platform. Develop model provenance practices, service vetting, and dependency controls that keep the AI stack trustworthy as it grows.
• Partner with Privacy, Legal, and Data Platform to ensure the right controls are built into pipelines handling real-time location, family relationship data, and data involving minors.

Senior Staff AI Security Engineer, AI Native Platform

• Own the security strategy for frontier model access and MCP governance. Define how we securely connect to frontier models and external tool integrations: the risk framework, the authorization architecture, and the escalation model before those patterns harden at scale. Set the direction that builders implement within
• Architect the identity and trust model for non-human agents. Define how agents authenticate, how trust is established and revoked across orchestration chains, and how the model evolves as agent capabilities expand, covering service identities, scoped credentials, and least-privilege access patterns across the platform.
• Set the adversarial defense posture for AI systems in production. Define our approach to prompt injection defense, adversarial input handling, and behavioral monitoring patterns and establish the detection philosophy, telemetry requirements, and response framework the team builds and operates within.
• Shape security architecture for the common AI end-user platform. Lead design reviews and build the access controls, data boundary enforcement, and abuse detection that keep a shared AI environment safe across an employee population with varying privilege levels.
• Secure the shared knowledge layer. Define access control and data governance for retrieval and reasoning, ensuring AI-powered tools don't inadvertently surface sensitive data to the wrong systems or users.
• Build AI supply chain integrity into the platform. Develop model provenance practices, service vetting, and dependency controls that keep the AI stack trustworthy as it grows.
• Partner with Privacy, Legal, and Data Platform to ensure the right controls are built into pipelines handling real-time location, family relationship data, and data involving minors.

Principal AI Security Engineer, AI Native Platform

Backend Engineer

• Design and build high-quality features integrating third party data and systems.
• 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 Foundry 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.

Senior Software Engineer – AI-Native, Backend

• Lead the EPD People Strategy Through AI-Native Transformation
• Partner with the CTO and EPD leadership team to translate the AI-native operating model into concrete people decisions.
• Serve as the people design partner for the role framework, helping leaders define what these roles look like in practice, how people move between them, and what career development looks like in a model still being written.
• Drive change management for a workforce experiencing meaningful role shifts.
• Advise on the structural decisions coming out of the H1 2026 pilot programs and translate findings into org-wide playbooks as the company scales AI-native ways of working in H2.
• Partner with Talent Acquisition on hiring profiles that reflect AI-native expectations, particularly for roles where functional backgrounds are blurring.
• Engage directly with the CTO as a thought partner on people and org strategy.
• Challenge assumptions. When leaders propose people decisions based on habit or comfort rather than evidence, push back and bring data.
• Build the AI-Native People Playbook
• Document the people practices, org design decisions, change management approaches, and lessons learned from the EPD transformation in a form that the broader People team can apply to other functions.
• Work closely with the CPO and People leadership to sequence how other functions will follow EPD’s lead, and translate the EPD experience into actionable guidance.
• Build reusable frameworks for workforce transition planning, role architecture updates, and manager coaching that work across functions, not just in EPD.
• Define and own the measurement framework that tells us whether the playbook worked: attrition through the transition, time to fill and ramp new AI-native roles, internal mobility, manager effectiveness, leadership team decision velocity, and the pace at which other functions adopt the playbook.
• Manage and Develop a Team of HRBPs
• Manage, coach, and develop a team of HRBPs who support non-EPD functions across Life360.
• Prepare your HRBP team to apply the AI Transformation playbook when their respective functions begin their own AI-native transitions.
• Build the team’s capability in AI-native tools and ways of working. You model this yourself; the team follows. The expectation is that the HRBP function runs with the same AI-enabled efficiency we are asking of the business.
• People Programs & Cross-Functional Collaboration
• Partner with the broader People team to adapt core programs (performance, compensation, career ladders, internal mobility, engagement) to fit the AI-native operating model.
• Contribute to the company-wide people strategy as a senior member of the People leadership team.