Backed by Lightspeed.
About the role
We are looking for a Senior Security Researcher to join in our offensive security research efforts in the domain of software supply chain security. This is a unique opportunity to work at the forefront of secure SDLC and software supply chain security, identifying zero-day vulnerabilities in software artifacts and CI/CD systems, analyzing attack trends, and influencing the next generation of security capabilities in our products. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 5+ years of experience in security research, vulnerability discovery, and offensive security
- Deep expertise in reverse engineering, exploit development, and software vulnerability analysis
- Strong understanding of software supply chain security, including package management systems, CI/CD pipelines, and dependency analysis
- Experience discovering and responsibly disclosing zero-day vulnerabilities
- Proven track record of publishing high-quality research or presenting at top security conferences (e.g., Black Hat, DEF CON, RSAC, BSides)
- Proficiency in programming languages such as Python, Rust, or Go
More about this role
AI coding is the largest use case of enterprise AI adoption today, as is evident from the success of Anthropic on Claude Code, Cursor’s $60B exit to SpaceX, and Cognition’s $48B valuation.
The bottleneck now has moved from code generation to security and safety - AI agents write code faster than any team can review it, and over 65% of the lines of code produced by them are insecure. Vulnerabilities are piling up 16x faster than companies can fix them, and adversaries are able to exploit these new vulnerabilities within hours.
AURI by Endor Labs closes that gap. It runs inside the harness where coding agents work, through hooks, skills and MCP, so the controls sit outside the model and every agent action is visible. Underneath is our patented code context graph, which maps code, open source, containers and infrastructure. It shows which vulnerabilities can actually be reached and exploited, then delivers fixes that won’t break the application. Security teams get evidence instead of noise, and developers get fixes instead of tickets.
The companies building AI trust us to secure it - our customers include OpenAI, SpaceX, DoorDash, Dropbox, Atlassian, MongoDB, Snowflake, Robinhood and...
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