Life360

Life360

Sr. Staff AI Security Engineer, AI Native Platform

Remote, USA · Staff+

Sponsorship not specified$209k-$309kDetected 64 days ago
Vector DatabasesOAuthLLMsRAGAgentic AILangGraphAI OrchestrationCybersecuritySupply ChainLeadershipCommunication

About the role

  • The Information Security and Technology team is responsible for keeping Life360 safe - our systems, our employees, and the tens of millions of families who trust us with their location data.
  • How we meet it is what makes this team different.
  • Security controls that don't get used aren't controls.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.

Requirements

  • Experience with production telemetry and detection - defining detections and building response paths for threat surfaces without established playbooks.
  • Strong cross-functional communication and the ability to push back when it matters.
  • 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.
  • Experience designing or reviewing security for internal enterprise AI platforms serving non-technical users.

Nice to 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.

Skills

  • The compliance frameworks are catching up.

Compensation

  • The US-based salary range for this position is $209,000 to $309,000.

Benefits

  • Competitive pay and benefits
  • Medical, dental, vision, life and disability insurance plans (100% paid for employees)
  • Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being
  • Flexible PTO, 13 company-wide days off throughout the year
  • Learning & Development programs
  • Equipment, tools, and reimbursement support for a productive remote environment

Company info

  • That obligation is the starting point.
  • We are builders.
  • Compliance programs that create friction without reducing risk aren't programs.
  • We build things that work in production, earn adoption from engineering teams, and get better over time - and we use AI to do it at a scale a traditional team couldn't.
  • We're also at an inflection point.
  • Life360 is deploying agentic systems into how we build and operate, and the security and governance implications of that are still being worked out - by us, and by the industry.
  • The threat surface is expanding.
  • The people on this team aren't waiting for either.
  • About the Job
  • We are hiring a Sr.
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This listing is sourced directly from Life360's careers page and normalized into a canonical job model.