Life360

Staff Security Operations Engineer

Remote, USA · Staff+

Sponsorship not specified$149k-$272kDetected 65 days ago

Code ReviewAWSKubernetesOAuthLLMsAgentic AICybersecuritySIEMSOC OperationsDetection EngineeringIncident ResponseCadenceLeadershipCommunication

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.

Own the roadmap for detection and response. The platform decisions, the architecture decisions, the build-versus-buy calls - you make them, and you defend them.
Build and mature the security observability platform.
Own the security telemetry layer across infrastructure, identity, endpoint, SaaS, and AI-native systems.
Partner with Data Platform on the SIEM and data lake foundation that makes all of it queryable and scalable.
Partner with AI platform teams on the safety patterns that make autonomous action trustworthy.
Build detection and response capabilities with AI at the center.
Design workflows where AI creates, tests, and improves detection content - not just executes it.
Build the case management and response orchestration that moves from signal to resolution with minimal human intervention.
Drive continuous validation of detection effectiveness. Run the measurement program - precision, false positive rates, signal quality - and design agentic tuning workflows that surface underperforming detections and reduce noise without a human in every loop.
Own incident response end-to-end.

8+ years of hands-on security operations or detection engineering experience with a track record of building things that hold up in production - not just advising on them.
You can articulate where AI worked, where it didn't, and how you measured the difference.
Deep AWS experience - CloudTrail, IAM, GuardDuty, native logging - and the ability to investigate cloud incidents end-to-end.
You know that identity is the perimeter.
You can show the metrics that proved the program was getting better.
You can read, write, and ship it - and you use AI coding tools to operate with leverage.
Bachelor's degree or equivalent

Built or significantly contributed to agentic workflows in production.
Familiarity with AI agent frameworks and the security implications of agentic systems with production access.
Published detection content, given conference talks, or contributed to open-source security tooling.
Experience with container and Kubernetes security telemetry.
Direct experience investigating nation-state actors or APT-class threats.
High-growth environment experience where the security program had to be built while it was being run.
401(k) plan with company matching program
Winter and Summer Weeklong Synchronized Company Shutdowns

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

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're hiring a Staff Security Operations Engineer to define and lead Life360's next-generation security operations program.

This listing is sourced directly from Life360's careers page and normalized into a canonical job model.