Glow is on a mission to transform how enterprises proactively protect the modern endpoint with an agentic-first approach. Our platform gives security teams the visibility, context, and autonomous remediation they've never had before — across every endpoint, application, and AI tool in the environment. We move fast, we build things that matter, and we believe security should be a force multiplier for the business, not a bottleneck. Let's Glow.
We're looking for a multi-disciplinary security researcher to play a vital role in researching, planning, implementing, and maintaining security solutions for organizational adoption and usage of software in general, and AI-native software in particular, in collaboration with all product development departments.
Investigating how software in general, and AI-powered tools (coding assistants, agents, LLM-integrated IDEs, etc.) are used inside organizations, and where they introduce risk: data leakage, prompt injection, supply chain exposure, malicious extensions, and so on.
Building a data-driven picture of real-world usage and adoption to prioritize what we protect against, using telemetry, surveys, and external research.
Designing detection and prevention approaches for these risks, and working with engineering, product, and data teams to ship them in our product.
Auditing implementations against the threat models you develop and iterate.
Experience in security research, threat research, or a closely related field.
Comfortable conducting data analysis in SQL and scripting languages (Python, etc.); much of this role is finding signal in messy real-world data.
Strong written and verbal communication; you'll be explaining threat models to PMs and engineers regularly.
A track record of taking research from “interesting finding” to “shipped capability.”
The Glow Mindset: You take ownership, act with accountability, collaborate openly, and focus on delivering meaningful impact. You thrive in fast-moving environments, embrace ambiguity, and enjoy solving hard problems together.
Prior work on LLM/AI application security, such as prompt injection, agent security, model supply chain, securing coding assistants.
Familiarity with developer tooling ecosystems (IDE plugins, MCP, package registries).
At Glow, we believe our greatest strength is our people. We're committed to building an inclusive workplace where every team member feels welcomed, respected, and empowered to do their best work. We know that diverse backgrounds, experiences, and perspectives make us stronger as a company and better partners to our customers.
Glow is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an environment free from discrimination and harassment. We make all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law.
Job details are sourced from the employer's original posting.
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Glow provides a platform for enterprises to proactively protect modern endpoints with an agentic-first approach, offering security teams enhanced visibility, context, and autonomous remediation across all endpoints, applications, and AI tools.