Principal AI Security Engineer, Life360
AI Native Platform
$239.5-351.5k
Offers equity
Expert level
Remote from US
Location sharing app for families
Open for applications
Location sharing app for families
201-500 employees
B2CLocation servicesCommunicationD2C
Open for applications
$239.5-351.5k
Offers equity
Expert level
Remote from US
201-500 employees
B2CLocation servicesCommunicationD2C
Company mission
To simplify safety, so families can live fully.
Role
Who you are
- 15+ years in security engineering with depth in application security, cloud security, IAM, or detection. A track record of building controls that earn adoption, not just approval
- Security architecture ownership you’ve defined at the platform level in terms of trust models, data boundary topologies, and long-term viability that produces security outcomes without grinding velocity
- 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
- Deep grounding in IAM for non-human systems: service identities, OAuth, secrets management, RBAC/ABAC, and least-privilege architecture at scale. You’ve designed and built identity systems, not just consumed them
- Experience with production telemetry and detection at an architectural level. You’ve defined security observability strategies, not just individual detections
- Comfort with ambiguity and in-flight builds. You're energized by figuring things out, writing first-draft standards, testing approaches, and scaling what works
- Strategic judgement on when to build v. buy and ability to lead the organization to wise investments
- Strong cross-functional communication across engineering, product, legal, privacy, and senior leadership. You carry risk, tradeoffs, and technical decisions without losing precision.
- You’ve contributed or ready to contribute to the security industry. We’re shaping these patterns together and you’re willing to represent Life360 in these conversations
- 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
What the job involves
- 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
- We are hiring a Principal 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 requires both architectural depth and hands-on execution, often in the same week
- You will define the security architecture other engineers build within; the trust model, authorization framework, data boundary topology, and threat model
- Guide the coherence of these patterns across the teams building model access, agent infrastructure, the knowledge layer, and the end-user platform to interoperate securely and drift doesn't introduce systemic risk
- The patterns we are securing are still being defined
- Part of the work is figuring out which approaches hold up under real conditions, which ones don't, and scaling what works.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
- 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
- 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
Our take
Life360 is a platform for families that aims to bring them closer together by helping them better sync, communicate, and stay safe.
The business is particularly focused on enabling family members and friends to share their locations with one another. In addition, Life360 offers group messaging services, and also makes it possible for users to call for roadside assistance. The platform is focused on ensuring that both family members and friends can enhance their safety and connections with one another.
Customer service advisors are available on a real-time basis, while the developers of the app have also enhanced its privacy and security features recently. After an IPO in 2019, the company has received numerous awards and is recognized as a pioneer in its field, even piloting a new driving safety feature.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Top investors
34% employee growth in 12 months
Glassdoor (4.1)
Trustpilot (2.5)
Company
Funding (last 2 of 7 rounds)
Oct 2018
$50m
SERIES D
Dec 2017
$18.5m
LATE VC
Total funding: $139.3m
Company values
- Be a Good Person - We have a team of high integrity people you can trust that doesn’t tolerate jerks (even if they’re brilliant).
- Be Direct With Respect - We have a culture of radical candor that prevents company politics, passive aggressiveness, or being overly nice at the expense of performance and feedback.
- Members Over Metrics - We have a company that is known for an amazing customer experience and a culture of product excellence.
- High Intensity High Impact - We have a team of passionate, driven, ambitious people who work hard and are always challenging us to do better.
Company HQ
East San Mateo, San Mateo, CA
Leadership
Chris Hulls
(CEO)Joined US Air Force aged 17. Attended UC Berkeley. Founded Life360 in 2008.
Alex Haro
(Board Member)Co-founded with Chris Hulls in 2008 - CTO until 2019. Founded mymoneykarma in January 2020.
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