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Glow is transforming enterprise endpoint security with an agentic-first platform that provides security teams visibility, context, and autonomous remediation across endpoints, applications, and AI tools.
You'll serve as a multi-disciplinary security researcher investigating how software—particularly AI-powered tools like coding assistants, agents, and LLM-integrated IDEs—are used within organizations and where they introduce risk. Your focus will span data leakage, prompt injection, supply chain exposure, malicious extensions, and related threats.
Key responsibilities include:
- Investigating real-world usage patterns of software and AI tools to identify organizational risks
- Building data-driven pictures of adoption using telemetry, surveys, and external research to prioritize protection efforts
- Designing detection and prevention approaches for identified risks
- Collaborating with engineering, product, and data teams to ship security capabilities into the product
- Auditing implementations against threat models you develop and refine
You'll bring security research or threat research experience, strong data analysis skills in SQL and Python, and excellent written/verbal communication. You have a track record of moving research from interesting findings to shipped capabilities. Experience with LLM/AI application security (prompt injection, agent security, model supply chain, coding assistant security) and familiarity with developer tooling ecosystems (IDE plugins, MCP, package registries) are highly valued.
This is a fast-moving environment where you'll take ownership, act with accountability, collaborate openly, and focus on delivering meaningful impact while solving hard security problems.
