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Material Security

Cloud workspace security for Google Workspace and Microsoft 365

cybersecurityRedwood City, CA51-200Series CRemoteFounded 2017Salary transparent
About

Material Security builds a detection and response platform for cloud workspaces like Google Workspace and Microsoft 365. It protects against email threats, data loss, account compromises, and configuration issues for enterprises. This enables automated remediation and holistic security without added complexity.

Tech stack
GCPKubernetesscikit-learnFastAPIDockerAWSTypeScriptReactAgentic Workflows
Perks & benefits
Health insuranceDental insuranceVision insurance401kUnlimited vacationParental leaveMental health benefits
Open roles 6

Senior Software Engineer

Build secure products for Google Workspace and M365 using TypeScript, Kubernetes, and GCP. Requires 3+ years experience, a CS-related bachelor's, and hands-on work with React, Node, testing, and on-call support.

166k – 184kSan Francisco, CAFullstack EngineeringRemote3+ YOEGitGCP

Sr. Manager, Security Engineering

Lead the Security Engineering team responsible for defending the organization and product infrastructure. Manage Application, Infrastructure, and Corporate security while staying hands-on with alert triage, detection, and architectural design.

240k – 280kSan Francisco, CASecurity EngineeringRemote7+ YOECorpsecCompliance

Sr. Manager, Email Security Engineering

Lead and scale the Email Security engineering team, owning roadmap delivery and architectural decisions for high-throughput distributed systems while mentoring engineers and partnering with Product and Security.

235k – 260kSan Francisco, CAEngineering ManagementRemote7+ YOEIncident ResponseOn-Call Rotations

Senior Software Engineer, Cloud Office Security

Builds full-stack features for Cloud Office Security, focusing on Google Drive, OAuth, and LLM-powered agentic workflows to automate security risk detection and remediation. Requires strong backend skills, full-stack comfort, and experience integrating third-party APIs at scale.

190k – 235kSan Francisco, CAFullstack EngineeringRemoteLLMsReact

Staff Machine Learning Engineer

Builds, deploys, and maintains ML models to detect phishing, sensitive data, and threats in emails/drives. Requires 8+ years ML experience, strong data pipeline skills, and familiarity with LLMs/generative AI.

225k – 255kSan Francisco, CAML EngineeringRemote8+ YOEAWSGCP

Solutions Engineer

Leads technical discovery, demos, and evaluations for SMB prospects in pre-sales, while building internal GTM automations and tools. Requires customer-facing security experience, hands-on with Google Workspace/Microsoft 365, and scripting skills.

175k – 200kSan Francisco, CASales EngineeringRemoteAICRM