Senior Enterprise Security Engineer Remote

Life
360 is a remote‑first company that provides a mobile app, Tile tracking devices, and a pet GPS tracker, serving millions of families worldwide.

As a Senior Enterprise Security Engineer, you’ll be a technical owner of the controls that protect every employee, contractor, and device interacting with Life
360 systems—endpoint, SaaS, identity, and zero trust. This is a builder role: you design, deploy, and operate the preventative controls that reduce the attack surface before anything reaches Detection & Response.

You’ll partner closely with IT Engineering, GRC, and the broader security team. With IT, you’ll co‑own fleet management, device hardening, and the day‑to‑day health of the endpoint estate. With GRC, you’ll engineer controls and evidence pipelines that satisfy SOC 2, ISO 27001, and privacy requirements. With D&R, you’ll own the telemetry side of the partnership—making sure corporate systems (Kandji, Intune, Slack, Box, Google Workspace, Okta) emit what they need for detection, without owning the detection logic or incident response yourself.

You’ll also own Life
360’s security awareness program end‑to‑end and use AI as a force multiplier across all of it—directing agent‑assisted workflows for endpoint, SaaS, and awareness work, with appropriate guardrails on anything touching sensitive data or production.

• Develop systems and tools that improve the security posture of Life
  360’s DLP, device hardening, SaaS, and zero trust layers.
• Execute security strategy and policy for Life
  360‑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 Crowd Strike 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.

• 5+ years in security engineering with deep hands‑on ownership of endpoint security (Kandji/Intune/Jamf/Crowd Strike), SaaS security, or DLP.
• Hands‑on AWS security experience, including IAM policies, Cloud Trail. Ability to investigate cloud activity end‑to‑end and design guardrails that actually work.
• Advanced knowledge of operating systems with core competency in two or more of: device hardening (macOS, Windows), SaaS security, DLP, or assurance and validation.
• Experience securing corporate email infrastructure, including SPF, DKIM, DMARC, and anti‑phishing controls in Google Workspace or equivalent.
• Experience designing and operating zero‑trust access controls, including device trust signals, conditional access, and contextual access policies.
• Proven track record driving the implementation of preventative controls.
• Experience managing EDR fleet health at scale, including agent deployment, version currency, policy compliance, and coverage gap remediation (Crowd Strike Falcon preferred).
• Fluent AI user. Use of Claude, Cursor, Claude Code, or equivalent as a daily driver; knowledge of when to trust an LLM output and when not to; experience shipping automations or agents that actually work in production.
• Comfortable…