Endor Labs - Staff Product Security Engineer
Requirements
• 10+ years in application or product security, including staff- or principal-level technical leadership. • 10+ years in application or product security, • A track record of building security tooling and automation that runs at scale across an engineering organization, and of measuring whether it works. • A track record of building security tooling and automation • A track record of influencing a product or platform roadmap: you've turned internal security work into something other teams or customers adopt. • A track record of influencing a product or platform roadmap: • Demonstrated hands-on work applying LLMs and agents to security problems. You've built a harness, compared tools, or measured where they fail, and you have well-reasoned opinions on both halves of AI code security: how to find, validate and fix vulnerabilities in existing code, and how best to prevent insecure code from being merged. • Demonstrated hands-on work applying LLMs and agents to security problems. • Deep threat modeling and secure architecture skills. You know a strong threat model is one of the biggest levers in AI-driven scanning efforts. • Deep threat modeling and secure architecture skills. • The ability to set direction and influence senior engineering, product and customer stakeholders without formal authority. • The ability to set direction and influence • A fix-it mindset: you investigate, find root causes, and drive remediation rather than just reporting. • A fix-it mindset: • Comfort building from scratch in an ambiguous, fast-moving environment, and setting priorities without an established playbook. • Comfort building from scratch • Nice-to-haves • Experience securing build systems and CI/CD at scale, especially Bazel monorepos. • A background in security research, such as vulnerability research, program analysis, or static analysis tooling. • Conference talks, publications, or open-source work in application security. • Show Us Your Work • If you've written about AI security tooling, built a harness, or given a talk, link it in the Website field. We weigh public work more heavily than polished résumés, including work that documents what didn't work.
Responsibilities
• Fix issues in our application. AI tooling is good at generating findings. Validating, prioritizing, and fixing findings at scale on an ongoing basis is the new frontier. We are building a platform around this for our customers, and our work internally should guide these efforts. • Fix issues in our application. • Stop insecure code from being merged. You'll help build out our internal apparatus around our own AI SAST product and set up paved paths so everyone, from principal engineers to citizen developers, can be confident in the security of their code contributions. • Stop insecure code from being merged. • Both of these are simple in goal, lofty in practice. • Beyond these problems, running application security for an application security company is a rare opportunity to help shape the product we build for customers. Our application security program heavily utilizes our own platform, which makes our program both a proving ground for the product and an incubator for our R&D. You'll work closely with Product and Engineering to solve problems for customers too: shaping the roadmap, reviewing designs and mocks, and giving feedback on implementation. You'll share what works with customers, prospects and the broader security community.
Benefits
• We're building at the intersection of developer productivity and security, one of the fastest-growing spaces in software. Our dev-loved platform has real ROI, strong momentum, and customers who care about doing things right. • We think big, start small, and learn fast. We take ownership, move with purpose, and always start with the customer's success. We debate with data, make the complex simple, and challenge each other with kindness and candor. We celebrate wins, learn from misses, and have fun along the way. • think big, start small, and learn fast
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