TLM, Codex Security

📋 Description

• • As the Technical Lead Manager (TLM) for Codex Security at OpenAI, you will be at the forefront of a revolutionary initiative to build the world's first security agent powered by artificial intelligence. This pivotal role involves owning the technical direction, leading a high-caliber team of engineers and researchers, and driving the adoption of cutting-edge agentic security systems. Your work will directly contribute to OpenAI's mission of ensuring that artificial general intelligence benefits all of humanity by embedding security at the foundational level of AI development and deployment.
• • You will lead and nurture a team dedicated to building Codex Security, an advanced agentic security researcher designed to scan source code repositories, rigorously validate real vulnerabilities, and integrate seamlessly with Codex to generate intelligent fixes. This involves fostering a collaborative and innovative environment where technical excellence and creative problem-solving are paramount.
• • A core responsibility will be to set the technical vision and strategy for systems capable of analyzing vast codebases. This includes developing sophisticated methods for surfacing higher-confidence security findings and automating the generation of code fixes, thereby significantly reducing the burden on engineering teams.
• • You will be instrumental in designing robust architectures for agent-based security workflows. This requires a deep understanding of how to combine Large Language Model (LLM) reasoning, advanced source code analysis techniques, and modern developer tooling to create intelligent, adaptive security solutions.
• • Collaboration will be key. You will work closely with product management, research scientists, and go-to-market (GTM) teams to define and refine the roadmap for Codex Security. This cross-functional partnership ensures that the product aligns with both technical possibilities and market needs, driving enterprise adoption and impact.
• • You will engage directly with enterprise customers, acting as a trusted advisor to understand their most pressing real-world security challenges. Your insights will be crucial in ensuring that Codex Security effectively addresses these complex issues and delivers tangible value.
• • A significant aspect of this role is driving and upholding the highest engineering standards across reliability, security, and performance. You will champion best practices in software development, ensuring that the systems built are not only innovative but also robust, scalable, and secure.
• • You will translate groundbreaking advances in AI agents into practical, user-friendly tools for both developers and dedicated security teams. This involves bridging the gap between cutting-edge AI research and real-world application, making complex security tasks more manageable and effective.
• • The ultimate impact of your work will be the development of a high-precision security detection and automated patch generation system capable of operating across millions of code repositories. This system aims to dramatically reduce false positives, enabling engineering teams to ship secure code faster while minimizing the overhead associated with vulnerability triage.
• • Key technical challenges you will tackle include achieving high-precision security detection at scale, designing pipelines that maintain a high signal-to-noise ratio across millions of commits, and developing context-aware threat modeling capabilities. You will also focus on automated vulnerability validation through sandboxed environments and the generation of secure, context-aware code fixes with minimal regressions.
• • Furthermore, you will oversee the operation of large-scale security agents, ensuring reliability, performance, and cost efficiency. Designing effective human-AI security collaboration feedback loops, where developer input continuously refines the system's accuracy, will also be a critical focus.
• • This role offers a unique opportunity to blend technical leadership, product acumen, and deep security expertise, guiding the development of AI-driven security research and ensuring its practical application in securing large-scale codebases.