Sr. Staff AI Security Engineer, AI Native Platform at Life360

, , United States -

Full Time

Start Date

Immediate

Expiry Date

07 Aug, 26

Salary

309000.0

Posted On

09 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Security, Application Security, Cloud Security, Identity And Access Management (IAM), LLM Security, Agentic Systems, RAG Architectures, Prompt Injection Defense, OAuth, RBAC/ABAC, Production Telemetry, Adversarial Testing, NIST AI RMF, OWASP LLM Top 10, Multi-agent Orchestration, Data Governance

Industry

Individual and Family Services

Description

About Life360 Life360's mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 95.8 million monthly active users (MAU), as of December 31, 2025, across more than 180 countries. Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family). Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com. Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above. We Are AI Native We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process. Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy. About the Team The AI Native Platform team is a cross-functional engineering organization built to lay the infrastructure foundations for Life360's AI-native transformation. We are not exploring what might be possible, we are building the platform that makes it operational. The team works across four interconnected areas: how Life360 safely accesses and governs the use of frontier AI models and external integrations; the agent deployment and workflow infrastructure that lets teams build, test, version, and operate autonomous agents with the same rigor applied to any production software; how we safely democratize data, information, and knowledge across the organization, making it queryable and usable by AI systems and humans reliably; and a multiplayer AI workbench that gives every employee a purpose-built environment tuned to their role, with relevant tools, knowledge, and workflows rather than a general-purpose chat interface. The work is deliberate, high-velocity, and built to last. The bar is high: real use cases, production deployments, measurable outcomes. Security is not a checkpoint on this team. It is part of how we build. We are looking for engineers who want to be in the room where the architecture is designed and in the codebase where it's being built. About the Job We are hiring a Sr. Staff AI Security Engineer to secure Life360's AI infrastructure as it takes shape. You will sit within the AI Native Platform team, reporting directly to the CISO, working alongside the engineers designing and building each layer of the platform. This role is grounded in execution with real architectural reach. You'll drive delivery across key security domains while contributing to design decisions that shape how the platform is built. The patterns we are securing are still being defined, and part of the work is building and validating those patterns under real conditions. You’ll be active in architecture reviews, own security implementation across your domains, and build the controls that make it safe to move fast with AI. In a domain where the playbooks are still being written, part of the role is writing them. You won't be doing this alone, you'll work alongside additional security engineers and the broader team building the platform, with the expectation that this function grows as the platform does. The data at stake has real weight. Life360's systems carry real-time location data and family relationship graphs for tens of millions of people, including children. These are crown jewels in the truest sense — irreplaceable to the families who trust us with them. Securing the AI systems that interact with this data is not a compliance exercise. It is a core obligation of the product. The US-based salary range for this position is $209,000 to $309,000. We take into consideration an individual's background and experience in determining final salary — therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity. What You'll Do 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. What We're Looking For 12+ years in security engineering with depth in application security, cloud security, IAM, or detection — and a track record of building controls that earn adoption, not just approval. Hands on builder shipping security controls that hold up in production. You’re not an advisor but a practitioner that can define patterns that last Hands-on fluency with LLM and agentic systems. You've built with these tools, broken them, and shipped fixes for prompt pipelines , RAG architectures, and multi-agent orchestration from the inside. Solid grounding in IAM for non-human systems: service identities, OAuth, secrets management, RBAC/ABAC, and least-privilege architecture at scale. Experience with production telemetry and detection — defining detections and building response paths for threat surfaces without established playbooks. Comfort with ambiguity and in-flight builds. You're energized by figuring things out — writing first-draft standards, testing approaches, and scaling what works. Strong cross-functional communication and the ability to push back when it matters. You carry risk, tradeoffs, and technical decisions across engineering, product, and security leadership without losing precision — and can reshape a risky decision clearly and constructively. Familiarity with NIST AI RMF, OWASP LLM Top 10, and adjacent compliance environments for consumer data at scale. Bachelor's degree or equivalent experience in Computer Science, Information Security, or a related field. Bonus points if you have: Experience with frontier model API security, tool-use authorization patterns, or access governance for AI systems at scale. Hands-on experience with multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI, or similar) and their trust, identity, and authorization challenges. Familiarity with knowledge graph architectures, vector stores, or RAG systems — and the access control and data boundary problems they introduce. Red teaming or adversarial testing against AI systems: prompt injection, jailbreaks, data extraction, model inversion, or supply chain attacks. Background in consumer technology or another domain where personal data sensitivity is a core product obligation — not just a legal requirement. Experience designing or reviewing security for internal enterprise AI platforms serving non-technical users. Our Benefits Competitive pay and benefits Medical, dental, vision, life and disability insurance plans (100% paid for employees) 401(k) plan with company matching program Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being Flexible PTO, 13 company-wide days off throughout the year Winter and Summer Weeklong Synchronized Company Shutdowns Learning & Development programs Equipment, tools, and reimbursement support for a productive remote environment Free Life360 Platinum Membership for your preferred circle Free Tile Products Life360 Values Our company's mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference. Be a Good Person — We have a team of high integrity people you can trust. Be Direct With Respect — We communicate directly, even when it's hard. Members Before Metrics — We focus on building an exceptional experience for families. High Intensity, High Impact — We do whatever it takes to get the job done. Our Commitment to Diversity We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don't meet 100% of the below qualifications, you should still seriously consider applying! #LI-Remote

Responsibilities

Secure Life360's AI infrastructure by designing access controls, authorization patterns, and adversarial defenses for frontier models and autonomous agents. Partner with cross-functional teams to build secure telemetry pipelines and ensure the protection of sensitive real-time location and family data.