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Material Security

Cloud office protection with risk analytics

Senior Enterprise Security Engineer

Security Engineering & Architecture +1Confirmed live in the last 24 hours
Full-time$220k - $240k /yrRemote

About the Job

Requirements

  • Have owned a corporate stack end to end, including devices, identity, SaaS, and collaboration, and turned deployed controls into enforced controls.
  • Treat the identity provider, device fleet, and SaaS estate as one system, and harden the paths between them.
  • Have written detections that caught real attacks, reduced noise, and measured the difference.
  • Have responded to live incidents and made containment decisions.
  • Have put a large language model into a security workflow, measured it, and formed views on where it should and should not be trusted.
  • Have 6+ years of experience in corporate or enterprise security or detection and response, with hands-on ownership of a security information and event management system, detection content, and incident response.
  • Be comfortable using Python, Go, or TypeScript directly against vendor application programming interfaces and automating enforcement.
  • Have a deep understanding of OAuth, SAML/OIDC, session and token lifecycle, and how identity reaches cloud identity and access management.
  • Have managed a Mac fleet with modern mobile device management and endpoint detection and response, and moved it from deployed to enforced.
  • Have built or seriously experimented with large language model-driven workflows, including prompting, tool use, and evaluation, and be able to assess their performance.
  • Work collaboratively and effectively with more junior engineers without taking over.

Responsibilities

  • Own corporate telemetry and detection content; close coverage gaps, reduce noise with measured fidelity, and build detections for account takeover, session token theft, malicious OAuth grants, administrator abuse, and exfiltration by authorized users.
  • Lead corporate incident response and own the incident response playbooks.
  • Design and build an agent to review privileged access grants, customer data access, and high-fidelity endpoint and identity alerts in near real time, using labeled evaluation sets, measured precision and recall, explicit limits on automated action, and defenses against manipulation through log content or employee replies.
  • Manage devices and endpoint detection for the Mac fleet; automate update enforcement, deepen endpoint detection and response coverage, bring browser-level data loss prevention to the fleet, and enforce bring-your-own-device posture on iOS and Android.
  • Maintain the identity provider and SaaS estate; maintain phishing-resistant authentication, address applications that cannot use single sign-on, automate access-review evidence, and turn manual vendor and OAuth application review into a pipeline.
  • Manage Google Workspace administration alerting, OAuth governance, Apps Script governance, sharing, and data loss prevention, using the company product where appropriate.
  • Partner with Engineering to propose, test, and ship product detection updates based on observations in the company's own tenant.
  • Work with application security on the corporate-to-production boundary, including cross-boundary detections, just-in-time access, and logging that shows who accessed what.
  • Build systems to automate repetitive manual work.
  • Contribute findings as the product's internal customer and work with Engineering to improve detections shipped to customers.

Desired Qualifications

  • Have written a technical paper, spoken at a technical conference, or maintained open-source security tooling.
  • Have contributed detection logic or security features to a product codebase and be comfortable working within an engineering team's review and release process.

About the Company

Material Security

Cloud office protection with risk analytics

Material Security protects cloud office environments with risk analytics and threat detection that reduce the attack surface. Its platform continuously monitors cloud activity, analyzes risk signals, enforces security controls, and automates threat remediation plus user training with real attack scenarios. It differentiates itself by combining risk analytics, automated remediation, user-focused training, and defense-in-depth practices, including guarding legacy authentication and Shadow IT. The goal is to shield sensitive data across products, employees, and customers by preventing data loss and unauthorized access.

Company size
51-200
Company stage
Series C
Total funding
$162M
Headquarters
Redwood City, CA
Founded
2017

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