Who We Are

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 Peloton to name a few.

Endor Labs is the third company from Founder & CEO Varun Badhwar, who built Prisma Cloud, the platform that helped define cloud security, from $0 to $300M ARR at Palo Alto Networks. We’ve raised $163M from Lightspeed, Coatue, DFJ Growth, Salesforce Ventures and Dell Technologies Capital.

Software runs everything around our lives today - banking, hospitals, airports and power grids. AI now writes more of it every day, and our mission is to make sure the world can trust that software. Come build that future with us.

What you’ll do

The primary focus of this position is to help the team further advance Endor Labs'proprietary vulnerability database — extending and improving our existing AI pipelines,

e.g., in the areas of automated vulnerability validation, reachability analysis, and exploit generation.

Day-to-day work includes monitoring and managing pipelines that triage, enrich, and prioritize vulnerabilities at scale, working with the standards and data sources the

ecosystem is built on (CVE, CWE, CVSS, EPSS, PURL, NVD, OSV, GHSA, VEX) and continuously improving the accuracy, coverage, and timeliness of our data.

You will work hand-in-hand with our world-class 0-day researchers to scale automated vulnerability discovery — turning manual research workflows into repeatable,

production-grade systems.

You will investigate high-impact vulnerabilities and the vulnerability landscape at large, and author external-facing content — blog posts, technical write-ups, and advisories —

communicating findings clearly to both technical and non-technical audiences.

You will collaborate with internal teams to feed findings into detection and analysis pipelines, enrich our vulnerability database, and help improve automated coverage over

time

What we're looking for

Bachelor's degree in engineering or a related field, with at least 5 years of hands-on professional experience in vulnerability research, vulnerability management, product

security, or application security

Extensive knowledge of software vulnerabilities, triage, and prioritization, including deep familiarity with the associated standards and technologies (CVE, CWE, CVSS, EPSS,

PURLs, NVD, OSV, VEX, SBOM formats)

Hands-on experience building production-grade solutions at enterprise scale — e.g., CI/CD automation, management of SAST/SCA findings, or comparable security tooling

deployed across large engineering organizations

Demonstrated experience shipping AI/agentic systems to production — LLM pipelines, agent frameworks, tool use, prompt and eval design — with a clear track record of

measuring output quality and a sound sense of where these approaches hold up and where they don't

Proficiency in reading and analyzing code across multiple languages (Python, JavaScript/TypeScript, Java, Go), and comfort reasoning about patches, root causes,