Sr. Staff AI Security Engineer, AI Native Platform

1 month, 3 weeks ago
Full-time
Lead
Artificial Intelligence and Machine Learning
Life360

Life360

Life360 is the top family location safety app, offering advanced safety features to connect and protect millions of families worldwide.

Family Services
251-1K
Founded 2008
$140M raised

Description

  • Secure Life360's access to frontier AI models through access controls, policy enforcement, and authorization patterns.
  • Build and own secure patterns for MCP access and tool-use authorization across engineering teams.
  • Design the identity and authorization model for autonomous agents, including service identities, scoped credentials, and least-privilege access.
  • Develop agentic observability, telemetry pipelines, and behavioral monitoring for AI systems.
  • Implement defenses against prompt injection and other adversarial attack classes.
  • Lead security design reviews and shape access controls, data boundary enforcement, and abuse detection for the shared AI end-user platform.
  • Define access control and data governance for retrieval-augmented and reasoning systems so sensitive data is not exposed improperly.
  • Build AI supply chain integrity controls, including model provenance, service vetting, and dependency controls.
  • Partner with Privacy, Legal, and Data Platform on controls for pipelines involving real-time location data, family relationship data, and data involving minors.

Requirements

  • 12+ years of security engineering experience with depth in application security, cloud security, IAM, or detection.
  • Proven track record of building security controls that earn adoption and hold up in production.
  • Hands-on experience shipping security controls as a practitioner, not just advising on security design.
  • Hands-on fluency with LLM and agentic systems, including prompt pipelines, RAG architectures, and multi-agent orchestration.
  • Solid grounding in IAM for non-human systems, including service identities, OAuth, secrets management, RBAC/ABAC, and least-privilege architecture at scale.
  • Experience with production telemetry and detection, including building detections and response paths without established playbooks.
  • Comfort with ambiguity and in-flight builds, including writing first-draft standards, testing approaches, and scaling what works.
  • Strong cross-functional communication skills and the ability to challenge risky decisions constructively across engineering, product, and security leadership.
  • 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 with frontier model API security or tool-use authorization patterns, preferred.
  • Hands-on experience with multi-agent orchestration frameworks such as LangGraph, AutoGen, or CrewAI, preferred.
  • Familiarity with knowledge graph architectures, vector stores, or RAG systems and their access control challenges, preferred.
  • Red teaming or adversarial testing experience against AI systems, preferred.
  • Background in consumer technology or another domain with high personal data sensitivity, preferred.
  • Experience designing or reviewing security for internal enterprise AI platforms serving non-technical users, preferred.

Benefits

  • US-based salary range of $209,000 to $309,000.
  • Equity as part of the compensation package.
  • Medical, dental, vision, life, and disability insurance plans, 100% paid for employees.
  • 401(k) plan with company matching.
  • Mental Wellness Program and Employee Assistance Program (EAP).
  • Flexible PTO plus 13 company-wide days off each year.
  • Winter and Summer weeklong synchronized company shutdowns.
  • Learning and Development programs.
  • Equipment, tools, and reimbursement support for a productive remote environment.
  • Free Life360 Platinum Membership and free Tile products.

Interested in this position?

Apply directly on the company website

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